Michele Centemero, EVP Services, Mastercard Europe on why promoting awareness, stronger collaboration and data-sharing, and continued innovation of payments ecosystems, will be critical in reducing the impact of scams and protecting trust in the digital economy

As our world becomes faster, smarter and more interconnected, scammers are evolving in parallel, developing increasingly sophisticated ways to exploit people’s trust. By harnessing new technologies and behavioural insights, they are refining their methods to appear ever more credible and convincing.

While attacks on systems continue, today’s fraudsters are increasingly targeting people, often relying on psychological manipulation to achieve their goals.

Understanding Social Engineering

Many modern scams fall under the umbrella of social engineering,which isthe use of deception and emotional manipulation to influence a person’s behaviour.

In the digital world, cybercriminals use these tactics to build false trust, create urgency or fear, and ultimately trick people into sharing confidential information or taking actions that can cause financial harm to themselves or their employer.

Recent European industry data indicates that social engineering-related fraud and authorised push payments (APPs) – where victims are tricked into sending money to fraudsters posing as legitimate payees – now account for a growing share of overall scam losses[1].

This is directly impacting a growing number of consumers, with the majority of people saying they’ve experienced some form of scam or fraudulent attempt to capture their personal information highlighting why awareness and vigilance are critical for people of all ages.

Education is the First Line of Defence

Protecting consumers and businesses from malicious activity is a priority, and it starts with awareness. When people understand how scams work, they’re more likely to spot the warning signs before it’s too late and be empowered to protect themselves against fraudsters.

Three of the most common social engineering scams to watch out for are:

  • Imposter fraud – Criminals pose as trusted organisations (such as banks, retailers, or government bodies) to pressure victims into sharing personal or financial details. Research indicates over half (53%) of European consumers have been targeted via phone or voice call scams, with social media scams affecting around two in five people, and tech support impersonation tricking roughly one in three.*
  • Phishing – Fraudulent emails, texts, or messages that are designed to look legitimate, often urging immediate action like clicking a link or resetting a password, leading victims to disclose sensitive information or install malicious software. Nearly three in five (58%) have received phishing emails or fraudulent text messages (63%) and QR code scams are on the rise, impacting nearly a quarter of Europeans.*
  • Romance or honeypot scams – Scammers build emotional relationships over time, gaining trust before exploiting it for financial gain. These types of attacks are also widespread, with one in four people (24%) encountering fake profiles, requests for money, or online relationships that lead to financial exploitation. These scams hit younger generations hardest, with 40% of Gen Z and 35% of Millennials affected, compared with 21% of Gen X and 11% of Boomers.*

How Businesses Can Protect Consumers from Scams

With fraudsters increasingly using AI to commit more sophisticated, larger scale attacks, businesses and banks should also consider how they deploy technology to protect customers from bad actors.

The combination of AI, robust identity controls and open banking can help protect consumers from scams, whether across card and account‑to‑account payments or in fraudulent account openings.

Looking at identity controls specifically – take the example of continuous identity verification, a fraud prevention measure that verifies the user is who they claim to be throughout the entire lifecycle journey. This helps to prevent scammers from opening or taking over accounts to apply for credit, create ‘mule’ accounts or impersonate others.

Behavioural biometric data is often used as part of this and can be used to analyse how a user interacts with their device – from typing patterns to on‑screen movements – to flag unusual behaviour.

More in depth, AI powered transaction analysis can also help banks and financial institutions to stay ahead of payment threats. It provides banks with the intelligence needed to detect and stop payments to scammers, using AI and a network-level view of account‑to‑account transactions to enable intervention before funds leave an account.

Staying Ahead of an Ever-Evolving Threat

As social engineering tactics continue to evolve, staying ahead requires a combination of intelligent technology, consumer education, and proactive action from businesses and financial institutions.

While no single measure can eliminate risk entirely, greater awareness, stronger collaboration and data-sharing, and continued innovation of payments ecosystems will be critical in reducing the impact of scams and protecting trust in the digital economy.

*Source: This study was conducted by The Harris Poll on behalf of Mastercard from September 8 to September 25, 2025, among 5000+ consumers in the following European markets: EUR: France (n=1,005), Germany (n=1,002), Italy (n=1,016), Spain (n=1,005), UK (n=1,004)

Mastercard: Transforming the Fight Against Scams

Innovation – Our advanced AI-powered Identity insights examine digital footprints and assess unique patterns to detect risk and flag suspicious activity indicative of scams.

Collaboration – We collaborate across industries, partners and organizations worldwide to secure the digital ecosystem, ensuring payments are safe for all. Combating the growing threat of scams demands a collective effort.

Education – We work with and through our collaborators to provide knowledge and tools that help people protect themselves and their loved ones from scams, while also working to destigmatise the experience of being a victim.

  • $12.5bn in losses from U.S. consumer reported online scams in 2023
  • $486bn in global losses from scams and bank fraud schemes in 2023
  • 22% YoY growth in U.S. consumer scam losses suffered in 2023

From sender to recipient, we vigilantly monitor accounts and transactions for any elevated scam risk

Identity insights – Provides actionable identity insights and risk scores for businesses to improve identifying their good customers from the scammers creating “mule” accounts or impersonating someone else with a false identity.

Transaction patterns – Flags suspicious activity across the money movement flow to prevent payments to scammers before it is sent through the real-time analysis of transaction elements.

Account confirmation – Enables account validation to confirm account ownership and validate identity details in real-time through our open banking capability, which draws on the safe exchange of consumer-permissioned data to facilitate frictionless and secure payments.

Learn more at mastercard.com


[1] Joint EBA-ECB report on payment fraud: strong authentication remains effective, but fraudsters are adapting

  • Artificial Intelligence in FinTech
  • Cybersecurity
  • Cybersecurity in FinTech
  • Digital Strategy
  • InsurTech

Todd Moore, Global Vice President, Data Security Products at Thales, on why making AI security a boardroom priority today, will help firms position themselves to capture competitive advantage, safeguard customer confidence, and define the future of secure innovation

Financial Services organisations are responsible for some of the biggest growth in the global economy. Equally, they’re some of the most vulnerable. Like many other sectors, they’re racing to embrace AI, but with adoption comes new security risks.

According to Thales’ Data Threat Report: Financial Services Edition 81% of FinServ organisations are now investing in GenAI-specific security tools, with nearly a quarter using newly allocated budget. This surge in funding marks a turning point: AI security has moved from being an IT concern to a boardroom priority.

The fact that new budget lines are being carved out specifically for AI security signals a fundamental shift in corporate strategy. Boards increasingly recognise that protecting AI systems is as critical as safeguarding payment rails or core banking infrastructure. For an industry built on trust, resilience, and regulatory compliance, this investment wave shows how central AI has become to both risk management and competitive growth.

Balancing AI Innovation and Security

While FinServ organisations are aware of the security risks AI poses, they’re also seizing upon the opportunities it presents. The report has found that in 2024, FinServ businesses outpaced the broader market in AI deployment, leading in enabling employees to use AI and ahead in AI integration, which has continued into 2025. Additionally, 45% say they’re in the ‘integration’ or ‘transformation’ phases of their GenAI journey, compared to just 33% across wider industries.

AI’s ability to accelerate services, automate processes, and analyse data at scale makes it an exciting prospect, especially in the financial sector. This makes securing AI systems a priority for FinServ organisations, with increased GenAI integration reflecting developing organisational maturity and progress beyond experimentation.

The Risk

Yet the scale of opportunity is matched by the scale of challenge. AI systems require vast amounts of structured and unstructured data to conduct analysis and make recommendations.

For FinServ organisations, this often includes highly sensitive customer and transactional information, proprietary algorithms, and records bound by strict regulatory oversight. The risk is not only about whether AI systems themselves are secure, but whether the data they’re working from is accurate, as well as whether their adoption inadvertently creates new routes to data exposure and exfiltration.

Businesses need a clear strategy to fully understand how AI models are operating within their IT infrastructure, the applications they’re interacting with, and the data they’re accessing and pulling from.

The Response

Balancing AI’s opportunity and risk means embedding security at every stage, from design to deployment and ongoing monitoring. Newly allocated budgets for AI security, with nearly a quarter of FinServ firms making such investments, show how central AI has become to board-level strategy. These investments move firms beyond reactive fixes to proactive frameworks that evolve with the technology. AI security is no longer just an IT concern, it’s a strategic priority requiring collaboration between security, compliance, and business leaders. By factoring risk into early planning, organisations can align innovation with responsibility and build resilience for the long term.

Pioneering AI Security

Building on investment in AI-specific security is only the beginning. As scrutiny intensifies, the firms that will lead are those that treat AI security as integral to business strategy, not a bolt-on layer. Success will require visibility into how models behave, continuous validation against emerging risks, and adaptive controls that evolve with the threat landscape.

The financial services organisations that embed these safeguards into their core infrastructure will protect sensitive data as well as setting a benchmark for resilience and trust in an AI-driven economy. By making AI security a boardroom priority today, these firms position themselves to capture competitive advantage, safeguard customer confidence, and define the future of secure innovation.

Thales: AI is the New Insider Threat 

Thales 2026 Data Threat Report Finds 70% of Organisations Rank AI as Top Data Security Risk

Data security has taken centre stage as the success of enterprise AI initiatives increasingly hinges on consistent, controlled access to proprietary organisational data sources. The 2026 Thales Data Threat Report examines the complex calculus that organizations must undertake to enable innovation while securing their most valuable asset – their data.

This research was based on a global survey of 3,120 respondents fielded via web survey with targeted populations for each country, aimed at professionals in security and IT management. 

Read the Report

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Strategy
  • Fintech & Insurtech

Lee Fredricks, Director – Solutions Consulting, EMEA at PagerDuty, on why technology leaders should see 2026 as a time for operational resilience to shift from ambition to accountability

Technology leaders should see 2026 as a time for operational resilience to shift from ambition to accountability. In 2025, too many cloud services outages and disruptions took place across the public and private sectors, and now regulatory, technological and cultural pressures are converging to say that enough is enough.

Outages often translate into broader repercussions for the organisation, including revenue impact, customer churn, share price pressure and potentially regulatory reporting obligations. Operational metrics must now be discussed alongside financial KPIs at the board level. C-suite leaders understand accountability, especially within the very regulated financial sector.

DORA’s First Birthday

It’s now been one year since the implementation of the Digital Operational Resilience Act, or DORA, introduced by the EU to strengthen the digital resilience of financial institutions. By now, organisations have had time to consider moving from mere compliance to creating a competitive edge from their investments.

Enterprise tech leaders are in the middle of a balancing act. They’re managing ongoing modernisation and transformation initiatives while navigating multi-jurisdictional regulatory scrutiny. At the same time, they face constant pressure from the board and must meet evolving customer needs—all competing for immediate attention. The stakes have never been higher. Operations teams are no longer viewed as a back-office IT function. Their success in keeping the organisation running and driving revenue is now a board-level concern.

For organisations today, IT is business delivery.

A year of DORA has seen organisations make the shift from focusing solely on mere compliance to setting meaningful demonstrable testing, third-party risk visibility and strictly mandated incident reporting timelines. Financial firms have lessened their exposure to risky situations. Payments providers aren’t only reliant on a single cloud region or SaaS supplier, or unable to provide evidence of real time incident response efforts and auditable logs after a disruption.

One benefit of these overall systemic improvements is enhanced supply chain accountability. Financial institutions and their technology partners are both liable for potential penalties and reputational risk, which makes it highly critical that they can prove their resilience capabilities.

Nevertheless, operational resilience is a continuous discipline. A fragmented incident response can expose firms to regulatory and reputational risk again and again if not addressed systemically. As such, many organisations are looking toward AI agents as part of a move towards ‘no-touch’ operations.

From Autonomy to Self-Healing

Under set policies, autonomous agents can handle incident response and operational tasks, such as detection, triage and remediation. AI agents deployed in operations may become the backbone of L1 (first contact) and L2 (more skilled) support. Contrast this with the traditional, reactive, ticket-driven model of IT. The industry can move much faster and with a higher successful close rate. Leveraging intelligent automation reduces mean time to detection/resolution and KPIs around lower incident volumes reaching L3. Additionally, it can lead to improved service availability percentages. Well integrated agents that actually support existing operations teams also help manage the issues around talent shortages faced by many organisations.

A typical incident lifecycle with agentic processes includes several stages depending on the model, but can be summarised as: Anomaly detected, correlated with recent deployment, a remediation script triggered and a human notified if set thresholds were breached. Such no-touch operations are golden in any sector, but particularly with industries such as digital banking and retail, where peak traffic periods demand near-instant response and poor customer experience is a powerful motivator for users to instantly change providers.

IT Standardisation

In addition, consider standardisation as part of strategic infrastructure best practices. There is a role for central operations clouds and operational ‘golden paths’ as solid foundations for reliable operational scale and dependability. Standardisation enables consistent, scalable operational excellence especially across large, distributed enterprises. ‘There is one way and it is the right way’ can be a great time and stress saver for operational teams – particularly if a regulatory notification and clear evidence is required.

For example, a global bank might define a single golden path for deploying customer-facing applications with pre-approved monitoring, incident response workflows, and regulatory reporting templates built in. In an outage, teams follow the same process and automatically capture the evidence required for regulators, avoiding confusion, delays, and compliance risk.

All of these possibilities take us to an exciting new place for an evolved set of developer and operational roles. When organisations enable AI to reshape daily engineering work away from manual firefighting and low-value work it frees headspace and time for developers and engineers to move into more architectural thinking and intelligent oversight of automated systems. These augmented teams will be empowered to manage simple situations instantly and devote more time and attention to the more difficult issues – the edge cases and the strategic necessities.

Enabling Agentic AI

Using another lens, businesses with agentic IT operations capabilities support their current talent, extending their reach and the speed of their response. The winning organisations will be those who deploy agents strategically, freeing up humans for that higher-value work – i.e. L3 expert support – and setting new standards for operational excellence that customers can rely on. Ideally this means making commensurate investment in existing people, training and organisational change management. A culture of continual upskilling and forecasting that points humans to where they make the best impact will be just as important as the autonomous tech tools working alongside them.

Autonomous agents allow many new services, and one of those can be described as self-healing operations. This evolution of the operations world is where predictive detection, automated remediation and embedded resilience all coalesce. With an autonomous process of testing, maintenance and remediation, organisations can focus on finely measuring improved customer trust. They can also enjoy the productivity and revenue benefits of high business continuity and availability.

AI is still a new technology, and many are legitimately concerned with the concept of autonomous agents. There is a need for clear guardrails, audit trails and explainability in automated remediation, and many technology partners have invested in their ability to support across these areas. Moreover, firms must maintain direction with policy-driven automation rather than uncontrolled autonomy, particularly in regulated industries.

Mandate Operational Excellence

This year is very likely to reward organisations that treat operational resilience as core to their business strategy. Those investing in automation, standardisation and governance will set the pace for their industries in an AI-enabled and increasingly autonomous world.

Regulators are already expanding their scrutiny and reliability expectations beyond financial services firms. Across the world, jurisdictions are increasingly looking to strengthen their economies and digital services in particular through resilience and cybersecurity measures. At the same time, agentic operations, and the organisational performance benefits they support, will rapidly become table stakes technology in all sectors. Inevitably, customers will judge brands on digital reliability as much as price or product features when evidence of outages are a click or a headline search away.

Start now. Audit internal incident response maturity, review the potentially complex web of third-party IT dependencies and identify where automation makes clear business sense. While resilience is an investment in compliance, it is also critical to ensure customer trust and future stability.

Learn more at pagerduty.com

  • Artificial Intelligence in FinTech
  • Cybersecurity in FinTech
  • Data & AI
  • Digital Strategy
  • Fintech & Insurtech
  • Infrastructure & Cloud

Jamil Jiva, Global Head of Asset Management at Linedata, on why the next chapter of AI-driven finance will be shaped not just by technology, but by creativity

Beyond Data: Where AI Finds Unexpected Inspiration

The discussion about training AI largely focuses on concerns that accessible, human-generated data is limited and may soon run out completely. If this is the case, how can technology that depends on a seemingly endless stream of inputs to iterate, test, and adapt deliver the results we expect? AI relies on structured, high-quality data to thrive, but what happens when we run out of spreadsheets and financial models to train AI? We need new data sources to ensure it continues to learn, adapt, and deliver accurate insights. Video games stand out as offering some of the richest, most expansive, and complex environments for AI training.

At first glance, video games and financial operations seem to belong to entirely separate worlds. However, AI connects these domains, with models leveraging virtual-world training to tackle real-world financial tasks. Financial documents such as credit agreements and tax returns are often convoluted, unstructured, and labour-intensive to process. Therefore, AI designed to interpret such data must possess strategic reasoning, real-time adaptability, and advanced pattern recognition. So, could video games be the ideal training ground?

Contrary to popular belief, gameplay can significantly improve how people think, learn, and solve problems. The abilities required to excel at video games closely reflect the skills AI systems must acquire today.

Levelling Up: What Virtual Worlds Teach Machines

Practice leads to proficiency, a principle that applies to both humans and AI. Interestingly, many of the most significant advances in AI development have emerged not from conventional data training, but from taking creative approaches. Games push AI to emulate human thinking and sharpen its statistical intuition.

These game-trained models are neither expensive nor heavily reliant on resources, and they sidestep the issue of data scarcity. As a result, they are actively shaping the future of financial intelligence. The examples below offer a clear demonstration of the potential of gameplay.

Virtual Economies: Lessons from World of Warcraft

World of Warcraft, with millions of players interacting in an immersive and dynamic world, features an economy that closely mirrors real-world financial systems, complete with inflation, supply and demand cycles, and fraud risks. The game even inspired one of the most renowned epidemiological studies: when the in-game ‘Corrupted Blood’ plague spread unpredictably, scientists used it as a model for real-world pandemic simulations.

Financial models depend on vast, interconnected data networks, much like the economy in World of Warcraft. Organisations employ AI to continuously monitor patterns, detect anomalies such as fraud or misstatements, and optimise data extraction for financial reporting, mirroring the way AI analyses virtual economies.

Urban Chaos: GTA V and Real-World Simulation

While Grand Theft Auto (GTA) V is famous for its open-world chaos, researchers have leveraged its traffic systems and non-player character behaviours to train AI for applications such as self-driving cars, crime pattern recognition, and urban planning. At its heart, GTA provides a platform for AI to process vast amounts of unstructured data in real time.

Similarly, financial institutions manage millions of data points from a wide range of sources. Their AI tools must automatically extract insights, classify information, and normalise complex formats. GTA serves as a controlled yet intricate environment for simulating scenarios, enabling AI to optimise for real-world tasks through ongoing feedback loops.

Sandbox Creativity: Minecraft and Adaptive Thinking

Minecraft provides a sandbox environment where AI learns through exploration. OpenAI even trained an AI to play Minecraft by watching YouTube tutorials, closely mimicking the way humans learn. Similarly, any AI used by financial institutions must be able to self-learn from new document types and structures, adapting just as a Minecraft AI learns to survive.

Reinforcement learning, where AI improves based on feedback, is a key element of intelligent document processing. Thanks to its vast scalability and dynamic, hierarchical environments, Minecraft serves as an ideal setting for navigation and repeated feedback loops, helping models develop domain-flexible reasoning.

Multiplayer Mayhem: Dota 2 and the Art of Teamwork

Dota 2 stands out as one of the most complex competitive games ever created, presenting AI with challenges in real-time decision-making, strategic coordination, and adaptability. OpenAI Five, trained on the equivalent of 45,000 years of gameplay within just 10 months, managed to defeat renowned, professional human teams. As anyone who has mastered StarCraft knows, tactical adaptability is essential for gaining the upper hand.

Financial institutions operate in environments that are just as dynamic as the shifting levels of a video game. Market conditions, regulations, and data formats are in constant flux. AI must be able to adjust to new document structures, handle missing information, and navigate edge cases, much like AlphaStar adapts to an opponent’s unpredictable strategies.

From Pixels to Profits: Bringing Game Logic to Finance

Whether to streamline operations, mitigate risks, or make informed decisions in today’s data-intensive financial landscape, AI has the potential to fundamentally transform financial offerings, delivering personalised and evolving experiences that foster understanding and combine seamlessness with regulatory compliance.

Yet AI does not simply require more data from which to learn; it needs better data. Video games offer near limitless, pre-built, highly complex digital worlds where AI can test hypotheses, simulate scenarios, and refine decision-making models. By utilising these unique environments, AI is challenged to enhance its speed, accuracy, and efficiency. 

The world of video games has many lessons we can learn when building AI, and given AI’s remarkable ability for transferable learning, it makes sense to leverage these pre-trained models to power essential financial workflows. It is more than just document processing; it is thinking, and the same intelligence that enables AI to defeat world champions in Dota 2 is now driving the next generation of financial AI solutions.

The next chapter of AI-driven finance will be shaped not just by technology, but by creativity. By embracing unconventional data sources such as the immersive complexity of video games, industry leaders will unlock new possibilities for personalisation, security, and customer engagement.

Learn more at linedata.com

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Strategy
  • Fintech & Insurtech
  • Neobanking

Richard Doherty, Head of Wealth & Asset Management, Publicis Sapient, on how asset managers must redesign their enterprise for AI-driven decision intelligence

The asset management industry is entering a structural inflexion point. The first wave of AI focused on improving productivity through copilots and automation. The next wave will fundamentally reshape how decisions are made, executed, and governed across the enterprise. This is not a technology upgrade. It is an operating model shift.

Despite significant investment, many firms remain trapped in fragmented AI experimentation. A majority are yet to realise meaningful economic returns from AI, not due to lack of capability, but due to a failure to redesign how intelligence is applied across the organisation. The gap between ambition and outcome is not a technology problem. It is a structural one.

From Automation to Decision Intelligence

The industry conversation has evolved. The question is no longer whether to adopt AI, but how to scale it across the enterprise. However, most firms are still approaching this challenge through the lens of automation, identifying tasks that can be executed faster or at lower cost. This delivers incremental value, but does not address the underlying constraint: the structure of decision-making within the organisation.

Traditional operating models are built around sequential workflows. Work moves from function to function: research, compliance, operations, and distribution, each dependent on the previous stage. This creates latency, duplication, and fragmentation. Agentic operating models shift the focus from tasks to decisions.

Instead of asking “Which processes can we automate?”, leading firms are asking: “Which decisions can be augmented or owned by intelligent systems?”

This shift enables organisations to move from sequential workflows to parallel decision systems; from human-led analysis to AI-assisted reasoning; from periodic insight to continuous intelligence. The result is not a marginal improvement. It is a step-change in how the enterprise operates.

The Pressures Driving Change

This transformation is not happening in a vacuum. Asset managers face mounting structural pressures: margin compression driven by fee pressure and passive competition; rising operational complexity from regulation and product proliferation; and advisor capacity constraints that limit scalable growth. Agentic operating models directly address all three.

By automating complex workflows, rather than individual tasks, firms can significantly increase advisor and analyst capacity without proportional cost increases. Parallel decision systems reduce the time required to launch products, respond to market events, and deliver client insights. This compresses cycles from months to days. Continuous monitoring of guidelines, portfolios, and operational processes reduces exposure to regulatory breaches and operational failures.

These are not theoretical benefits. They represent measurable improvements in cost-to-serve, time-to-market, and operational resilience.

Not all Intelligence is the Same

To scale AI effectively, organisations must recognise that not all problems require the same type of intelligence. Enterprise AI operates across three distinct layers, and conflating them is one of the primary reasons AI initiatives fail to scale.

Deterministic systems execute predefined rules with complete consistency. They are essential for functions where there is zero tolerance for error, trade validation, settlement processing, and regulatory reporting. If a business outcome must be identical every time, deterministic logic remains the correct approach.

Predictive systems use historical data to forecast outcomes. Applied in areas such as portfolio risk modelling, fraud detection, and client churn prediction, they generate probabilities and insights, but they do not interpret context or make decisions independently.

Agentic systems operate where problems require interpretation, judgment, and contextual understanding, investment guideline interpretation, regulatory document analysis, portfolio insights, and client communication. These systems can reason across complex information, generate insights, and take action within defined boundaries.

The ‘Different but Valid’ Dilemma

A critical challenge in adopting agentic systems is understanding how they behave. Traditional software produces identical outputs. Agentic systems produce reasoned outputs.

This introduces what I call the ‘different but valid’ dilemma. An agent may take a different reasoning path from a human and arrive at a different, but still correct, conclusion. This variability is not an error. It is inherent to reasoning systems.

The real risk lies in hallucination, outputs that are not grounded in data or evidence. Managing this requires organisations to clearly define where variability is acceptable. All AI-driven processes sit on a spectrum: deterministic actions with no variability (trade execution), predictive actions with controlled variability (risk scoring), and agentic actions with higher variability (investment insights).

Leading firms design systems where agents perform reasoning, deterministic systems enforce execution, and humans retain oversight on high-consequence decisions. This balance enables both flexibility and control.

The Operating Model Shift

The most significant change is not technological; it is organisational. Traditional models are built on functional workflows. Agentic models are built on coordinated decision systems.

Consider what launching a new investment product looks like under each model. In a traditional model, it involves sequential handoffs between teams, compliance reviews the guidelines, operations configures the systems, and distribution drafts the client narrative. Each stage waits for the last.

In an agentic model, intelligent systems operate in parallel: compliance agents interpret guidelines, operations agents configure constraints, distribution agents generate client narratives, and governance agents validate outputs. This orchestration compresses timelines, reduces friction, and enables continuous decision-making. It represents a fundamental redesign of how work is performed.

Governance: the Foundation for Trust

Trust is the prerequisite for scaling AI. Without it, adoption stalls, not because the technology fails, but because the organisation cannot adequately explain or defend the decisions it makes.

Leading firms implement governance models built on three principles. First, explainability: every decision must be traceable and auditable. Second, authority boundaries: agents operate within clearly defined limits. Third, human oversight: high-consequence decisions remain under human control.

Regulatory expectations will continue to evolve, but one principle remains constant: organisations must be able to explain how decisions are made.

Scaling AI is a Leadership Challenge

Executives must take a deliberate approach across four areas:

  • Define the intelligence model: map business problems to deterministic, predictive, or agentic systems.
  • Build the foundation: invest in data, infrastructure, and orchestration capabilities.
  • Redesign the operating model: shift from workflows to decision systems.
  • Implement governance to ensure transparency, control, and compliance.

Start with high-value use cases and expand rapidly across the enterprise. The firms that act now will establish a structural advantage in cost, speed, and decision quality. Those that do not risk being constrained by legacy operating models that cannot scale with the demands of modern markets.

The Question is not if, it is Who

The industry is not simply adopting new technology. It is redefining how decisions are made. The firms that succeed will not be those that deploy AI tools in isolation. They will be those who design the right form of intelligence for each problem, redesign their operating models around intelligent systems, and scale agentic capabilities across the enterprise.

This shift is already underway. The question is no longer whether it will happen. The question is which firms will lead, and which will be forced to follow.

Learn more at publicissapient.com

  • Artificial Intelligence in FinTech
  • Blockchain & Crypto
  • Data & AI
  • Digital Strategy
  • Fintech & Insurtech

Martijn Gribnauis, Chief Customer Success Officer at Quant, on why Agentic AI will redefine financial services

A recent Google Cloud survey showed that only 13% of finance organisations are currently using agentic artificial intelligence. This number needs to, and will rise when you consider that 88% of financial leaders are seeing ROI from generative AI already. Agentic is the next and most advanced evolution of artificial intelligence the world has ever seen. 

Agentic AI is not on the way. It is here and already reshaping how forward-leaning financial institutions operate. In 2026, for IT and finance leaders to build an insurmountable competitive lead they must deploy agentic AI in every area where it can safely and effectively create value. The institutions that hesitate will find their business models under threat from familiar competitors and newcomers alike.

Reinvention of Core Processes

Agentic AI is poised to reinvent core financial processes. Bookkeeping, record maintenance, and period-end close are nearing complete automation. Month-end processes that once required late-night, stress-filled marathons will evolve into continuous, largely automated cycles. IT teams will no longer spend evenings on high alert waiting for failures. 

This shift also frees IT leaders, finance teams, and operations functions from monotonous repetitive tasks. Instead of focusing on system uptime and manual reconciliation, they will collaborate with the C-suite on strategic initiatives that drive growth and revenue. 

Understanding Why Adoption Is So Low

Despite the promise of Agentic AI, there is understandable caution. Some 80% of organisations have reported ‘risky behaviour’ from AI agents, and in the world of finance that is an alarming number. Finance is one of the most regulated, risk-averse sectors in the world. The fear of losing control remains the primary reason so few in the industry have embraced Agentic AI.

Loss of control and fear of catastrophic error

Financial leaders fear that an autonomous system could go ‘off script’, mis-route payments, misinterpret rules, or inadvertently cause compliance breaches. In finance, even small errors can trigger major financial or regulatory consequences.

Security and data privacy concerns

Large AI models require huge quantities of sensitive data. Organisations worry about breaches, cyber-attacks, or manipulation. An AI agent with improperly configured permissions could, in theory, execute fraudulent transactions or expose confidential customer information.

Bias and fairness risks

If AI agents make decisions using incomplete or fragmented data, they risk perpetuating or amplifying bias. At scale, biased decision-making can undermine customer trust and expose firms to legal and regulatory challenges.

Regulatory ambiguity and audit difficulty

Regulators are still determining how to govern agentic AI. Some organisations fear that early adoption could unintentionally violate rules or create future audit vulnerabilities.

These fears are legitimate, but not insurmountable.

Tackling the Adoption Barriers: A Practical Blueprint for Finance Leaders

To capitalise on Agentic AI’s immense potential, leaders must take a structured approach grounded in business value, security, and trust.

1. Start With Clear, Measurable ROI and Efficiency Gains

In finance, adoption accelerates when decision-makers see proof of value.

Start by automating repetitive processes. Agentic AI can handle tasks like data entry, reconciliation, invoice matching, and initial fraud checks faster and more accurately than humans. This leads to reduced operational overhead as automation lowers labour costs, shortens processing times, and reduces error rates. Demonstrating these savings through case studies or internal pilots is critical to changing minds. 

AI agents can enable revenue growth by analysing huge data sets to identify new investment opportunities, optimise trading strategies, and generate personalised product recommendations. Each of these capabilities directly impacts top-line growth.

2. Strengthen Risk Management and Compliance Through AI

Agentic AI will improve risk management when deployed responsibly. This starts with real-time fraud detection. AI agents can monitor transactions continuously, identifying patterns that suggest fraud long before traditional systems would detect an anomaly.

Continuous monitoring is also incredibly helpful when it comes to compliance. AI agents excel at ensuring adherence to KYC and AML regulations. They can automatically maintain audit trails, identify missing documentation, flag anomalies, and escalate issues instantly.

Enhanced stress testing and scenario modelling can both be completed via Agentic AI. It can simulate complex market environments more dynamically than legacy tools, providing deeper insights into vulnerabilities and improving resilience. When showcased and presented in this context, agentic AI becomes a risk-reduction tool in the eyes of decision makers. 

3. Directly Address Security and Trust Concerns

Trust is the cornerstone of adoption. Implement enterprise-grade security architecture that includes encryption, secure APIs, strict access controls, and continuous monitoring of agent behaviour. And, use explainable and transparent AI systems (XAI) so your finance teams understand the reasoning behind decisions. XAI helps provide interpretable outputs that support auditability and regulatory compliance.

Start small with a controlled, low-risk pilot. A proof-of-concept in a non-critical workflow helps teams understand the technology, gather evidence, and build internal support before scaling. Produce numbers based reporting that speaks the language of the people who make the decisions. Show, don’t just tell them how agentic will move the business forward.

4. Highlight the Competitive Advantage

Agentic AI adoption is not just an efficiency upgrade. It is a competitive imperative. AI agents create faster innovation cycles by accelerating product development, service delivery, and operational improvements.

They also provide superior customer experience. From instant account servicing to personalised financial recommendations, Agentic AI delivers the speed, personalisation, and convenience customers expect. Plus, it scales exponentially. No matter how many people call in at the same time, an agentic agent will answer immediately. Agentic AI reduces up to 86% of time spent in complex workflows that were traditionally handled only by people. This will be huge in getting ahead of your competition. 

5. Build Momentum Through Internal Champions

Adoption increases when respected leaders advocate from within. Mid-level managers, AI-literate staff, or members of the C-suite who understand the technology can serve as champions. Use them and their beliefs to drive alignment, communicate benefits, and counter misconceptions. The more people from different departments and levels of the organisation that talk up the technology, the more likely you are to get buy-in. 

Your Time is Now

Agentic AI will redefine financial services. The organisations that act today will build capabilities, insights, and competitive advantages that late adopters will not be able to replicate. Finance leaders must begin asking where agentic AI can support their business, where it can remove friction, where it can unlock growth, and where it can transform operations. The firms that act now will lead the industry. Those that hesitate will not get the chance to catch up.

The only remaining question for finance organisations is not whether agentic AI will change the industry, but how quickly they choose to deploy it.

Learn more at quant.ai

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Payments
  • Digital Strategy

Richard Ford, Chief Technology Officer at Integrity360, on why cybersecurity must move beyond control and embrace trust

Cybersecurity has long been focused on building walls, but the biggest threat is already inside. Today, insider risk accounts for nearly half of all data breaches. This isn’t just about malicious actors, it’s about regular employees and trusted contractors who make simple, costly mistakes.

Remote and hybrid working has only intensified the problem. With teams distributed and work happening across cloud platforms and collaboration tools, it’s harder than ever to track what’s happening, let alone why. Although AI tools promise efficiency, they also introduce new vulnerabilities. Employees pasting code into chatbots or bypassing corporate tools to meet deadlines. All seemingly innocent, but highly risky.

Insider Risk

Ransomware gangs know this and are now skipping the technical breach altogether and going straight to the source – a company’s insiders. Whether through bribery or social engineering, attackers are finding that humans can be the weakest link in even the most well-defended environments. Despite this, most security budgets still focus outward.

Traditional tools like data loss prevention (DLP) struggle to keep up with today’s dynamic and unpredictable user behaviour. Meanwhile, simulated phishing tests and punitive training schemes often breed resentment, not resilience. It’s time to rethink the model.

Human Error, Human Fix

We need to stop treating employees as the problem and start making them part of the solution. Enter Human Risk Management (HRM), a behavioural approach to cybersecurity that recognises the complexity of modern work. HRM tools monitor real-world user behaviour, detect anomalies in context, and deliver just-in-time nudges to prevent risky actions before they happen. Instead of punishing mistakes, they help users avoid them in the first place.

Of course, technology alone won’t fix the issue, culture is key. Leadership must champion security as a shared responsibility, not an IT rulebook. Success should be measured by how quickly employees improve, not how often they slip up. Awareness campaigns need to be practical and rooted in real-world behaviour.

Organisations also need to understand how digital transformation has changed the risk landscape. Shadow IT is no longer a fringe issue, it’s how work gets done. Whether it’s a developer using an AI plugin or a marketer sharing files via a personal drive, employees will always find the fastest path to productivity. Security must meet them there, not block the way.

Cybersecurity Built on Trust

The smartest businesses are those that treat identity like infrastructure, and behaviour like a vital data stream. They invest in tools that adapt to people, not the other way around. This means a move away from a surveillance approach and embracing the nuance of human error and design systems that support.

In a world where threats are increasingly internal and AI is both a risk and a tool, cybersecurity can no longer be about control. It must be about trust, and that starts with understanding the humans behind the keyboards.

Learn more at integrity360.com

  • Cybersecurity
  • Cybersecurity in FinTech
  • Digital Strategy
  • Infrastructure & Cloud

Pierre Noel, Field Chief Information Security Officer at Expel, on why security with community-based governance is a key business pillar that better positions organisations to become more resilient and target growth

It’s been a particularly rocky start to 2026 for the global cybersecurity landscape. From the Substack data breach to PayPal credential-stuffing attacks in February, we are not looking at IT failures alone. These attacks are balance-sheet events: direct assaults on business value, triggering remediation costs and long-term impacts on financial health. Compounded with the conflict with Iran, leading to potential ramifications in the cyber realm, it’s more important than ever for the C-suite to be aligned on cybersecurity priorities.

Despite this, a glaring disconnect remains in planning and execution. Expel’s research found that while 85% of finance leaders view cybersecurity as a key component of business planning, only 40% express full confidence in security’s ability to align with business strategy. To bridge this gap, CISOs must move from reporting on activity and start reporting on resilience and unit cost.

Translating Alert Volume Into Unit Cost

CISOs must change how they present the value of their operations. CFOs are largely indifferent to technical metrics like the ‘millions of blocks pings’ or ‘SOC alert volume’ – to a finance leader, an alert is simply another form of disruption to daily operations.

To fix this, CISOs should introduce the ‘unit of cost protection’. By breaking down security spend into the cost required for a single transaction or business unit, CFOs can understand and manage it from experience. A tiered approach works best here: high-risk business units justify higher protection costs than low-risk ones. This allows CFOs to treat security as a scalable operational expense rather than a black hole of additional tooling – the kind of framing that also resonates in a boardroom.

Mapping Investment to Business Risk Exposure

Expel’s research shows that while 43% of finance decision-makers are confident that security can prioritise investments based on risk, only 46% are confident that security can deliver cost-efficient solutions. To move in the right direction, CISOs should shift from ‘vulnerability management’ to thinking about ‘business risk exposure’, requiring a different view of how threats unfold over time.

It’s all about asking the right questions. Instead of requesting more firewalls to protect a specific timeframe, start asking for the cost of securing diverse digital ecosystems across an extended risk window. The 2026 Winter Olympics is a good example: Russian-led cyber campaigns began raising concerns months before a single athlete arrived in Italy, proving that risk isn’t a one-day event but an ongoing operational cost.

For European organisations, this framing is increasingly non-negotiable. While NIS2 and DORA help make the cost of under-investment concrete and quantifiable, the upcoming Cyber Resilience Act (CRA), with key reporting requirements starting in September 2026, extends this pressure to anyone manufacturing or selling digital products in the EU. Even for purely domestic UK entities, the new UK Cyber Security and Resilience Bill is moving the goalposts toward these same high standards. Ultimately, CFOs must understand that cybersecurity isn’t just about preventing loss; it’s a prerequisite for safe and secure growth.

The Reputational Multiplier

So those are the questions to ask, but how do CISOs deal with the ‘unknown unknowns’, specifically long-term brand damage? While compliance fines under NIS2 or DORA may be straightforward (and important) to model, they rarely represent the full scope of the potential damage. In such scenarios, CISOs should propose a reputation multiplier: a framework for quantifying the financial fallout of brand damage in a language CFOs know and trust, looking past immediate recovery costs to factor in the long-term implications of re-establishing market trust.

The 2026 CarGurus breach illustrates this well. Impacting 12 million users, the cost wasn’t purely technical; it also came from the stock price dip and marketing spend required to repair the brand. For UK companies, where regulatory scrutiny is heightened, that multiplier effect is even more pronounced. This is the language of a CFO, and it helps CISOs better translate the urgency and relevance of a strong cybersecurity posture.

Standardising the Language of ROI

Closing the gap between CFOs and CISOs needs more than just better data; it needs a shared vocabulary. By standardising the language of ROI, CISOs transform cybersecurity from a vague insurance policy into a transparent value driver fully trusted by finance teams. Move away from complicated defensive jargon toward a unified framework of unit costs, and the gap between the CISO and CFO starts to close.

Security has become a key pillar of business operations, and in the current threat environment, it’s genuinely a community-based governance issue. The organisations that get this right aren’t just more resilient. They’re better positioned to grow.

Learn more at expel.com

  • Cybersecurity
  • Cybersecurity in FinTech
  • Digital Strategy
  • Infrastructure & Cloud

Dr. Yvonne Bernard, CTO at Hornetsecurity, on meeting the challenge of managing the speed of AI adoption and harnessing its defensive capabilities while mitigating the risk of uncontrolled adoption

The past year has been defined by acceleration. Threat actors rapidly embraced automation, AI, and social engineering. Scaling their tactics at unprecedented speed, while defenders raced to keep pace. Historically, defensive resilience evolves in step with attacker innovation, but in 2025 that balance began to falter.

In an analysis of over 6 billion monthly emails, Hornetsecurity’s Security Labs found that the volume of sophisticated threats grew faster than most security teams could adapt to. Malware-infected emails soared by 131%, scams increased by nearly 35%, and phishing attempts – powered by access to advanced AI – rose by 21% from the previous year.

Typically, attacks, even at volume, are easily filtered by good firewalls and secure email gateways. But the sophistication and AI-led nature of 2025’s boom made it even harder for organisations to defend themselves. The question now is: can security teams and businesses wrestle back control?

Evolving Cyberattack Landscape

​​AI enhances efficiency and precision. As such, cybercriminals use it to launch faster, more convincing and adaptive attacks, ranging from deepfakes to credential stuffing. As an example, there is a concerning trend of attackers increasingly using ‘MFA bypass kits’ to create deceptive login pages. These pages capture not only the user’s credentials but also have logic built in to handle MFA prompts as well. ​​The unsuspecting user is then passed to the real login page for the target service and meanwhile the ‘kit’ grabs a copy of the user’s session token. This allows the attacker to impersonate the person and access their data. ​​​​​

Examples of such kits include Evilginx (open source) and the W3LL panel. Protecting against these attacks can be challenging, as they are adept at bypassing MFA safeguards. Threat actors often use compromised LinkedIn accounts, for example, to gain access to substantial information and connections. This enables them to impersonate trusted business connections. Paired with the weaponisation of Agentic AI, this will magnify existing vulnerabilities within an organisation, while introducing new ones that defy traditional containment models.

As it stands, the lack of oversight within organisations on the extent of AI’s adoption by cybercriminals has enabled the emergence of ‘Ransomware 3.0.’ Ransomware has evolved past simple encryption and exfiltration, with this next phase focusing on LLM-driven orchestration and a shift to data integrity manipulation.

To counter AI-accelerated compromises and ‘Ransomware 3.0’ in 2026, organisations must adopt a Zero Trust-based cyber resiliency strategy. This requires businesses to implement strong, non-phishable machine authentication, strict least-privilege access, and constant monitoring to protect the integrity of the data that users and AI agents can access. It should become the baseline expectations rather than aspirational goals for this year.

The Secret Value of ‘Least Privilege’ Access

Another strategy to proactively improve cybersecurity defences in 2026 is to enforce the principle of ‘least privilege’ access. This tactic grants users access only to the data that’s needed for their role. Limiting excessive access is important for preventing the potential for widespread data exposure and damage in the case of an account compromise.

Businesses, however, must strike a balance over access; if it’s too strict, it can hinder productivity and lead to shadow IT issues. Getting this balance right when it comes to privileged access is where sophisticated permission managers are invaluable tools to work with. They streamline the process and remove the guessing game of who and what to grant access to, thereby ensuring, in the case of an attack, that the entire organisation won’t be brought to its knees.

How CISOs are Adopting ‘Resilience, not Perfection’

The rate at which AI is advancing means not every organisation will be equipped with the tools or the know-how to tackle every AI-inspired attack. But as the saying goes, ‘prevention is better than cure’. It’s better to create a strong security culture than to continually chase after the next best tool. 

Organisations can’t strengthen their resilience without involving every single person under their umbrella. That’s why CISOs must continue to invest in cybersecurity awareness programs.

These should include simulated AI-phishing attacks (phishing remains the number one attack vector) to test users and enable them to apply learnings from the modules.

If any user clicks on a phishing email, they should receive additional training at that very moment, to cement the learning. Over time, a good training system should automatically identify users who rarely fall for such attacks and reduce the training they receive while making the simulations they do receive more difficult. Conversely, giving persistent offenders additional bite-sized training and simulations can help improve security outcomes over time.

The key challenge for 2026 is managing the speed of AI adoption and harnessing its defensive capabilities while mitigating the risk of uncontrolled adoption. But with excellent training, cyberattack practice runs, and the adoption of Zero Trust principles, organisations will find themselves in a strong position.

About Dr. Yvonne Bernard

Dr. Yvonne Bernard is the CTO of Hornetsecurity by Proofpoint, Proofpoint’s business unit leveraging the Hornetsecurity product suite dedicated to managed service providers (MSPs) and small to mid-sized businesses (SMBs), providing next-generation cloud-based security, compliance, backup, and security awareness solutions that help companies and organisations of all sizes around the world.

Learn more at hornetsecurity.com

  • Cybersecurity
  • Cybersecurity in FinTech
  • Data & AI
  • Digital Strategy

Dr Megha Kumar, Chief Product Officer and Head of Geopolitical Risk at CyXcel, on whether our risk and regulatory frameworks and institutional cultures can keep pace with Agentic AI

Within the next couple of years, Agentic AI is likely to progress from early stages of operation to be fully embedded within systems. Its expansion will be subtle rather than spectacular. It will integrate steadily into enterprise platforms, logistics networks, compliance workflows, cybersecurity operations centres and executive decision-support tools. Processes will move faster, operating expenses will decline and performance indicators will trend upward.

Yet these visible improvements mask a deeper challenge. The regulatory exposure, data governance pressures and erosion-of-trust risks associated with Agentic AI are being misjudged.

Unlike earlier AI applications designed primarily to generate outputs – whether text, imagery, or predictive insights – agentic systems are built to act. They sequence decisions, draw from multiple data environments, initiate consequential processes and function at scale with differing levels of human supervision. In sandbox environments this can seem contained and controllable. Over extended periods in live environments, however, sustained oversight, traceability and effective governance become significantly more complex.

Evolving Operational Complexity

There are two key challenges that businesses must address.

First, how do organisations monitor what agentic systems are doing once deployed? These systems evolve through updates, integrations and retraining and they interact with new data environments.

Second, how do you ensure responsible behaviour throughout the lifecycle? Regulators, policymakers and customers will likely expect firms to shift from compliance assurance to risk assurance and demonstrable evidence of trust and transparency.

The prevailing assumption is that human oversight will mitigate these risks. Human in the loop or human over the loop has become the default reassurance. In practice, however, that assumption breaks down far faster than many anticipate.

When a system works 95 per cent of the time, human reviewers limit their scrutiny. Behavioural science tells us that automation bias and complacency occur when automated systems are high-performing. Employees often become validators of AI outputs rather than critical examiners. The diligence gap widens gradually and then suddenly.

Facing Up to Difficult Questions

How do you incentivise employees to remain diligent checkers when the system mostly ‘works’?  And how much time does effective oversight actually require? True review is not a cursory glance at a dashboard. It involves interrogating assumptions, validating inputs, checking context and assessing downstream consequences. In many cases, meaningful oversight may take nearly as long as performing the original task manually. When checking becomes more costly than doing the job yourself, pressure to ‘trust the system’ intensifies.

And what happens to accountability when oversight exists on paper but not in practice? Governance documentation may show layered review structures, escalation pathways and audit processes. Yet if humans are functionally disengaged, responsibility becomes dispersed. When errors surface, organisations may struggle to attribute fault – was it the model design, the data, the integrator, the operator or the reviewer who signed off without fully scrutinising?

Regulators are only beginning to grapple with these realities. In jurisdictions such as the European Union, the EU AI Act introduces risk-based obligations, documentation requirements and human oversight provisions. These are important steps, however, the operationalisation of those requirements in dynamic, agentic environments remain untested at scale. Compliance on paper will not automatically translate into resilient governance in practice.

Addressing the Trust Challenge

Beyond regulatory exposure, there is a broader trust challenge emerging.

As Agentic AI systems scale across industries, they will generate vast volumes of automated outputs – reports, communications, risk assessments, content, decisions and transactions. If errors or manipulations spread through interconnected systems, confidence in digital outputs may erode.

In geopolitically sensitive contexts, this has profound implications. Agentic systems interacting with external data sources could amplify disinformation, introduce biased datasets or make decisions based on manipulated inputs. The speed of automation may outpace the speed of verification. Trust, once diluted, is difficult to restore.

Data protection risks will also intensify. Agentic systems frequently require broad access privileges to perform tasks effectively. They may access internal databases and personal data and interact with third-party platforms. Each interaction creates potential exposure points. A single misconfiguration or prompt injection attack could trigger cascading consequences across systems.

The next phase of AI adoption will not simply amplify productivity: it will amplify regulatory, legal and reputational risk. This moment therefore demands serious scrutiny before agentic AI becomes deeply embedded in business infrastructure.

The Moment for Action has Arrived

So, what should organisations be doing now?

To begin with, organisations need to look past superficial, tick-box compliance. Effective governance cannot live solely in policy documents – it must function in day-to-day operations. This means investing in continuous monitoring capabilities, robust audit trails and real-time anomaly detection tailored specifically to Agentic AI behaviours.

In parallel, incentive structures should be redesigned. Meaningful human oversight will not happen if it is treated as secondary to speed or output. If employees are expected to provide meaningful review, organisations must allocate time, training and authority accordingly. Performance metrics should reflect risk management responsibilities, not just output rate.

Clear lines of accountability are equally important. Senior leadership and boards should determine who carries ultimate responsibility for outcomes produced by agents. Where third-party vendors are involved, responsibilities must be contractually and operationally defined. Incident response mechanisms should be rehearsed in advance, rather than presumed to work when pressure is high.

Expertise must also be integrated across functions. Legal, risk, compliance, cybersecurity, data protection and operational teams should be engaged from the outset. Deploying Agentic AI is not simply a technical upgrade – it reshapes the organisation’s risk profile.

Finally, resilience demands deliberate stress-testing. Leaders should examine not only pathways to success but how models fail at scale. How would the organisation respond if a system update embedded systemic bias, if an integration vulnerability enabled unauthorised activity or if automated actions eroded customer confidence? Rigorous scenario exercises, however uncomfortable, are essential to building genuine preparedness.

As Agentic AI advances, Risk Management Should Match its Pace

None of this is an argument against adoption. Agentic AI presents meaningful productivity improvements and the potential for sustained competitive differentiation. Organisations that deploy it with discipline and foresight may secure a measurable advantage. The danger lies not in adoption itself, but in pursuing acceleration without knowing the risks and putting the right guardrails in place.

The coming two years are critical for businesses. Before these systems become deeply embedded in core processes, organisations have an opportunity to shape the control environment around them.  However, once agentic systems are fully embedded, retrofitting controls will be far more difficult and costly. Leaders must therefore treat this period as a design phase for oversight, not merely a race for competitive advantage.

Agentic AI is advancing rapidly. The defining question is whether our risk and regulatory frameworks and institutional cultures can evolve just as quickly.

Learn more at cyxcel.com

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Strategy

Visa is leading the AI race in payments, according to Evident’s AI Index for Payments, a major new ranking of…

Visa is leading the AI race in payments, according to Evident’s AI Index for Payments, a major new ranking of AI adoption within the industry. 

The Index shows industry stalwarts Visa and Mastercard outpacing their peers and delivering tangible AI outcomes thanks to early investments in talent and innovation.

Behind them, PayPal (3rd), American Express (4th), Stripe (5th) and Block (6th) emerge as the challengers. They outperformed the Index average, but are yet to match the leaders’ scale of deployment and outcome disclosure.

AI Moving from Experimentation to Deployment

Over the past two years, the 12 payments companies in the Index have publicly documented nearly 100 AI use cases. Underscoring how rapidly AI has moved from experimentation to deployment across core payment workflows. It’s a landscape defined by constantly evolving fraud threats and rising customer expectations for faultless, high-speed processing. Evident notes that nearly a third of these use cases disclose measurable outcomes, including efficiency gains, risk reduction and revenue uplift.

“Payments firms adopted AI out of necessity long before many other industries – their business models demanded it. Companies who invested early – like Visa and Mastercard – have gained a clear advantage over their peers, both in AI capabilities and the value their deployments are realising.” Alexandra Mousavizadeh, Co-Founder and Co-CEO of Evident.

Talent, Innovation, Leadership and Transparency

The Evident AI Index for Payments provides the most comprehensive independent benchmark of AI maturity across the industry. It is based on publicly available data around four pillars critical to successful AI deployment: Talent, Innovation, Leadership and Transparency.

According to Evident, Visa’s lead is based on consistent performance across the four pillars. And because it demonstrates the clearest evidence that AI is institutionalised across its core transaction network. Visa and Mastercard show maturity in areas such as fraud detection, cybersecurity and network-level risk reduction. Visa stands out for the scale and measurable impact of a handful of large, multi-year deployments focused on the integrity and security of its entire ecosystem.

“Mastercard shows strong evidence of scaled deployment and quantified performance improvements. Particularly in areas like fraud detection and AML tracing,” continued Mousavizadeh. “But what sets Visa apart is the degree to which the company is demonstrating impact at scale over multiple years. From applications of AI across its operations and network. It signals a shift from individual use cases to AI as institutional capability.

“What the Index also reveals is the importance of consistent innovation to maintain competitive advantage. With relatively nascent industry players like Stripe and Block performing well – and showing their AI potential reflected in their valuations – the Index leaders cannot afford to drop off the pace.”

AI Impact on Show, but ROI Reporting Scarce 

Firms in the top half of the Index account for nearly 80% of use case disclosures (with the top three providing a significant 54%). Highlighting the link between AI maturity and the ability to scale deployment.

Visa performed strongly in this regard. For instance, its latest threat report disclosed advanced AI/ML blocked nearly 85% more fraud compared to one year prior. Similarly, when Mastercard incorporated Gen AI technology into its Decision Intelligence solution, initial modelling showed AI enhancements improved fraud detection rates from an average of 20% to as high as 300% in some instances.

However, Evident notes that no payments company has disclosed realised or projected ROI across all enterprise or group-wide AI activities. 

“The Index leaders are locked in a tight race at a point when the thinking around corporate AI adoption is shifting – away from chasing the biggest models to building technologies that solve real operational problems efficiently,” commented Annabel Ayles, Co-Founder and Co-CEO of Evident. “Against this backdrop, the absence of ROI disclosure – or any group targets for AI ROI – is increasingly conspicuous. Currently, 1-in-5 banks now report on group-level AI returns. However, payments firms have yet to quantify the aggregate impact of their AI investments. To keep justifying this expenditure, the market will sooner or later demand clearer evidence of value.”

A Hotbed of AI Talent

The Index also reveals that the average payments company has over 30% more AI-focused workers than other financial institutions, despite substantially smaller employee numbers. 

The three major card networks – Visa, Mastercard and American Express – account for nearly half (48%) of the payments industry’s AI talent stack. PayPal is currently the biggest employer, accounting for nearly a fifth (18%) of that AI talent.

PayPal’s AI talent has allowed it to build proprietary models tightly integrated with its data and workflows. Consequently, it accounts for nearly a quarter (24%) of the 98 AI use cases documented by its peers over the past two years – 1.7x as many AI applications as detailed by Visa or Mastercard.

“AI maturity is no longer defined by talent volume alone, and the Index leaders combine AI development, data engineering and product capabilities in ways that allow them to move rapidly from model experimentation to production deployment,” concluded Ayles.

The Evident AI Index Methodology

The Evident AI Payments Index ranks the AI maturity of 12 of the largest payment networks and processors across the globe. These 12 entities were chosen by aggregating the largest payment companies, with a minimum of $2B in annual revenue. 

It is an independent, ‘outside-in’ assessment based exclusively on publicly available information. Each company was assessed against 60+ individual indicators, organised into four pillars critical to successful AI deployment at scale: Talent (45% weighting), Innovation (30%), Leadership (15%) and Transparency of Responsible AI activity (10%).

Data is gathered through a combination of extensive manual research and proprietary machine learning tools that extract key data points from company reporting and public disclosures (including press releases, investor relations materials, group-level website pages, group-level social media accounts, and media interviews with senior leadership), as well as a range of third-party data platforms.

Further information on the methodology of the Index can be found at evidentinsights.com

  • Artificial Intelligence in FinTech
  • Digital Payments
  • Neobanking

Adam Spearing, VP of AI GTM EMEA at ServiceNow, on why those that invest in AI foundations now will shape their operating models on their own terms

Much of the debate around AI still centres on pilots: which tools to test, which use cases to prioritise, which risks to manage. Executive teams commission proofs of concept, establish governance forums and assess compliance exposure. Far less scrutiny is applied to the consequences of waiting.

Traditional technical debt is familiar territory for CIOs. It stems from shortcuts, ageing platforms and deferred upgrades. It builds over time and is eventually addressed through structured modernisation programmes. Visible in legacy code, brittle integrations and manual workarounds. It appears on risk registers and capital plans. Leaders know how to describe it and, in principle, how to resolve it.

Forward-looking technical debt is different. It arises when organisations postpone the foundational changes needed for new ways of working. It is not created by past expediency, but by present hesitation. And it accumulates faster.

AI Adoption

In the context of AI, the effects are already emerging. Each quarter spent debating readiness instead of building it increases the distance between legacy operating models and AI-enabled competitors. As models improve and user expectations shift, that distance widens, reshaping competitive baselines. What begins as a modest capability gap can harden into structural disadvantage.

While companies debate whether to adopt AI, the margin for strategic choice narrows. Many organisations frame AI adoption as a binary decision: adopt now or wait until the technology matures further. In practice, the room for discretion is smaller than it appears. Time spent stalled in pilots or governance loops increases the gap between internal capability and market expectation.

More than 75% of organisations are expected to face moderate to severe AI-related technical debt in 2026, predicts Forrester. The issue will not simply be missed efficiency gains. It will be structural misalignment between how their systems operate and how work is increasingly done.

This misalignment often appears gradually. Teams rely on manual data preparation because underlying systems cannot support automation. AI tools are layered onto fragmented architectures and deliver inconsistent outputs. Employees experiment with external tools because internal platforms cannot provide the functionality they need. Each workaround creates further fragmentation.

Over time, these patterns compound. Integration backlogs expand. Security and risk teams struggle to enforce consistent controls across proliferating tools. Data governance becomes reactive rather than designed. What began as caution begins to constrain strategic options.

The AI Paradox

Here’s the paradox: organisations are either rushing into unsuccessful AI pilots that create immediate technical debt, or they’re avoiding AI entirely and creating forward-looking debt through inaction. Both paths lead to the same place – systems that can’t support the future of work.

AI isn’t just another technology layer to bolt onto existing infrastructure. It’s fundamentally changing how people interact with systems and how work gets done. Increasingly, AI becomes an interface through which employees access information, execute tasks and navigate processes. When AI becomes the interface – not just for customers but for employees navigating their daily tasks – organisations without AI-ready foundations will find themselves unable to compete on speed, efficiency, or experience.

The companies that hesitate aren’t just missing out on automation benefits today. They’re building a deficit that grows exponentially as AI capabilities advance. Each new model release, each competitor’s successful implementation, each customer expectation shift adds to the debt. Each significant model improvement raises the performance benchmark across the market. Unlike legacy systems that degrade slowly, this gap accelerates.

From Avoidance to Advantage

Breaking free from forward-looking technical debt requires a fundamental mindset shift. This isn’t about buying more technology or launching more AI pilots. It’s about creating the conditions for sustainable AI adoption that builds capability rather than complexity.

The organisations succeeding with AI aren’t the ones with the biggest budgets or the most aggressive rollouts. They’re the ones that took a deliberate, phased approach to ensuring their data, systems, and culture could support AI at scale. They treated readiness as an operational discipline rather than an innovation side project. They understood that AI adoption isn’t a destination, it’s a continuous capability that requires solid foundations.

This starts with honest visibility into current technology estates. Leaders must understand what systems can realistically support AI workloads, where data quality creates barriers, and which processes are ready for automation. Only then can organisations introduce AI incrementally, modernising systems where necessary rather than forcing new capabilities onto brittle foundations. Without that clarity, AI risks being layered onto structural weaknesses.

Modernisation therefore becomes targeted. Consolidating fragmented workflows, standardising data models and reducing unnecessary integration points increase the feasibility of scaling AI across multiple use cases. Early deployments focused on well-defined processes with clear data lineage can build internal confidence while strengthening governance practices.

Clear Debt to Stay Competitive

Forward-looking technical debt does not appear on a balance sheet. It shows up in slower product cycles, manual workarounds, integration backlogs and frustrated employees. It surfaces when competitors deliver AI-assisted services as standard and customers begin to expect the same everywhere. By the time these symptoms are visible, the underlying gap has already widened.

Timing therefore becomes a strategic variable. AI capability builds cumulatively: early investment in clean data, modern workflows and interoperable systems creates a base for continuous improvement. Each iteration becomes easier, faster and more reliable. Those that delay face the opposite trajectory: increasing complexity, rising retrofit costs and shrinking room for strategic choice.

The real issue is not adoption in principle. It is whether leadership teams are prepared to treat readiness as urgent rather than optional.

Reducing forward-looking technical debt requires acting before competitive pressure dictates terms, aligning technology modernisation with operating model reform, and accepting that disciplined progress now is less risky than accelerated catch-up later.

AI adoption will continue irrespective of individual organisational hesitation. Vendors will continue to refine their offerings. Regulators will clarify expectations. Customers and employees will adjust their behaviours. Those that invest in foundations now will shape their operating models on their own terms. Those that delay risk reacting to a competitive gap that is already commercially significant.

Learn more at servicenow.com

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Strategy

Chris Gunner, vCSO at Thrive – a leading NextGen MSP/MSSP, delivering global AI, cybersecurity, cloud, compliance, and digital transformation managed services – on how CISOs can position their cyber strategy to to become part of how a business navigates uncertainty

Quantification of cyber risk is a growing trend. While this can be genuinely useful, in practice it is often misunderstood or over-applied by security leaders. It can range from an arbitrary figure to attempting to model every possible risk on the register in a Monte Carlo simulation. The focus can fall on the mechanics of quantification, rather than how financial decision-makers actually use the information.

Think of the CFO – they don’t walk through every penny in the budget. Instead, they usually focus on the board-level levers that can materially affect the business. These often include three key areas: strategic optionality, removing friction from capital events and avoiding shocks and smoothing operating costs. Security conversations should be anchored the same way.

The Importance of Strategic Optionality

If faced with a credible one-year growth plan, CFOs may recommend a one-year office lease despite a 20% premium. This is because it maintains the option later of moving or re-contracting once the growth trajectory becomes more visible. Like most strategic decisions, it is about preserving flexibility in the face of uncertainty, even if that flexibility comes at a short-term cost.

If we apply this to a cyber context, there are often businesses that have taken a calculated gamble with their existing business strategies. While the plan is sound, there is a chance it might not land as expected. When they require security services, the choice between a ‘standard’ and ‘premium’ SOC frames the decision as one of optionality rather than security spend. Paying more now to preserve the ability to adapt later down the line. A simple illustration is incident response. An on-call retainer with defined response times can look more expensive than ad hoc support. Until an incident occurs and procurement becomes the bottleneck. In those moments, flexibility is often far more valuable than marginal savings achieved earlier.

Removing Friction from Capital Events

For CFOs, especially those operating in the alternative investment space, the focus is on structuring capital events. As opposed to managing day-to-day operational costs. One of the most painful points in that process is due diligence. The careful exchange between acquirer and target that aims to provide enough information for each to price risk, without giving the entire game away.

CISOs can materially influence how smooth or painful that process becomes. The most effective support often comes from understanding upfront what the diligence process will look like and preparing accordingly.

For example, they might develop executive-level ‘Security at ACME’ overviews to sit alongside more detailed trust centre or technical reports. Being available to diligence teams for interviews, and for example clearly articulating which services are outsourced to an MSSP, and why, builds credibility between those executive teams.

Decision-makers often don’t look at penetration test reports at a deal level. They are assessing whether the organisation understands its own control environment. A well-prepared CISO who can clearly explain why certain controls exist acts as a trust amplifier during transactions.

It is often the difference between a diligence process that closes cleanly and one that drifts. Two organisations can have similar maturity. Yet the one that can respond within a day with clear, consistent evidence reduces follow-up questions, avoids uncertainty premiums in pricing discussions and prevents security from becoming a late-stage negotiation point.

Avoiding Shocks and Smoothing Operating Costs

For any individual who has worked with a finance partner to define a departmental budget will know that predictability often takes precedence over absolute cost. Contract value can be secondary to payment terms, renewal timing or the ability to forecast spend with confidence.

CISOs can align with this by looking to reduce unplanned operating expenditure. In addition to understanding the cost structure of their controls by communicating with the technical pre-sales engineer, procurement and account teams.

A good example is cyber insurance. While often purchased directly by finance teams, many policies are relatively off-the-shelf and provide access to services the security team already operates or has under contract. Other policies include notable exclusions for the events most likely to occur. Such as a ransomware incident without business interruption cover. In many cases, these gaps can be addressed in-policy with a flat fee or a more predictable cost model.

The value here extends beyond risk transfer and into more predictable costs: replacing reactive spend with planned expenditure.

Aligning Cyber Conversations to Board Priorities

Across all of the above examples, the common thread is that the board is rarely asking security to prove its value in isolation, and is surprisingly comfortable with uncertainty. But they are asking whether the cyber papers support better decisions, fewer constraints and more predictable outcomes for the business as a whole.

CISOs who frame their priorities in those terms will find their conversations move away from justifying individual controls and towards understanding how security choices shape the organisation’s ability to respond to change. In that context, cyber becomes part of how the business navigates uncertainty, rather than a specialist function defending its budget. Speaking the board’s language, ultimately, is less about converting cyber risk into pounds and pence. It is more about understanding which levers matter at that level and showing how security choices influence them.

Learn more at thrivenextgen.com

  • Cybersecurity
  • Cybersecurity in FinTech
  • Digital Strategy

Tom Lanaway is Head of Innovation at Connective3, a global brand & performance marketing agency. He leads a team building AI-powered marketing measurement and marketing intelligence tools.

Most businesses are asking the wrong question about AI. They’re asking, ‘Which AI tool should we use?’ They should be asking: ‘Can our people actually think with AI?’ 

I run an innovation team at a marketing agency. We’ve spent the last two years building AI into everything we do, including measurement, content, strategy, and automation. We’ve got lots of tools, 18 different products to be precise. 

Below is what I’ve learned. But the tools aren’t always the bottleneck; sometimes the skills are. 

The Tennis Racket Problem 

A colleague put it perfectly recently: “AI is a tool. Think of it as if you’ve got a smart assistant sat there. But it’s saying, I’m going to give you the best tennis racket, now go and play in a Grand Slam.” 

That metaphor stuck with me because it captures something the artificial intelligence hype cycle keeps missing. We’ve convinced ourselves it democratises everything. That anyone can now do anything. That the barrier to entry has collapsed. And there’s truth in that, but it’s incomplete. The barrier to access has collapsed, but the barrier to effectiveness hasn’t. Give someone GPT-4, and they can generate text. Give them the best tennis racket, and they can hit a ball. But the gap between hitting a ball and playing at Wimbledon is still vast. Most organisations are stuck in that gap, wondering why their AI investments aren’t transforming anything. 

Three Skills That Aren’t Always Present 

When I look at where teams struggle and where I see the same patterns across other businesses, three specific competencies keep showing up as gaps: 

1. Problem Decomposition 

Not everyone knows how to break down complex work into chunks that AI can help with. This sounds simple, but it isn’t. Most people approach AI with whole tasks such as ‘Write me a marketing strategy’, ‘Analyse this data’ Or ‘Create a campaign’. AI will then produce something, but it’s usually mediocre, because the person hasn’t done the harder work of understanding which specific parts of that task AI is good at, and which parts need human judgment. The skill isn’t using AI; it’s knowing what to give it. Someone who is brilliant at their job but can’t decompose problems will get worse results from AI than someone more junior who understands how to break work into the right pieces.  

2. Output Assessment 

How do you know if what AI gives you is good? This is where intuition becomes essential and it’s also where the ‘AI replaces expertise’ narrative falls apart. You need domain knowledge to evaluate AI output. You need enough experience to feel when something’s off, even if you can’t immediately articulate why. You need the pattern recognition that comes from years of doing the actual work. Artificial Intelligence doesn’t replace that intuition; it requires it. The best AI users I’ve observed aren’t the most technical; they’re the ones who’ve built up enough expertise in their field to quickly assess whether AI output is useful, directionally correct, or completely off base. They know what good looks like, so they can recognise it when they see it, or notice when it’s missing.

3. Articulation 

Can you clearly express what you really want? This is the unglamorous core of the whole thing. Some people struggle to articulate their requirements to other humans, let alone to AI. We’ve all sat in meetings where someone spends 20 minutes explaining what they need, and you’re still not sure what they want. AI makes that problem worse. The skill isn’t ‘prompt engineering’ in the technical sense; it’s the much older skill of clear thinking and clear communication. If you can’t articulate what you want specifically, precisely, with the right context and constraints, you won’t get useful output from AI or from anyone else. 

The Uncomfortable Implication 

Here’s what this means for how businesses should think about AI investment

Stop leading with tools: Most organisations have tool fatigue already. Another platform, another integration, another training session on which buttons to click. It’s not working. 

Start with the human work: Before asking ‘What AI should we use?’, ask ‘Can our people break down problems, assess output, and articulate requirements?’ If they can’t do those things well without AI, they won’t do them well with AI either. 

Invest in the skills, not just the access: This doesn’t mean AI prompt engineering courses; it means developing clearer thinking, better problem decomposition, and sharper articulation. These are old skills, applied to new tools. 

Accept that expertise still matters: The people who’ll use AI best are the ones who already know their domain deeply. AI amplifies competence; it doesn’t create it.

Connected Intelligence Isn’t About Connected Systems 

I’ve spent a lot of time thinking about how different marketing channels and data sources connect and how you build intelligence across systems rather than in silos.

But I’ve come to think the more important connection isn’t between systems, it’s between human judgment and AI capability. The integration layer that matters most is the one between the person and the tool. 

Get that wrong, and it doesn’t matter how sophisticated your AI stack is. Get it right, and even basic tools become powerful. 

Learn more at connective3.com

  • AI in Procurement
  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Strategy
  • People & Culture

Hampshire Trust Bank (HTB) is using artificial intelligence (AI) to act faster on customer concerns. It is empowering its teams…

Hampshire Trust Bank (HTB) is using artificial intelligence (AI) to act faster on customer concerns. It is empowering its teams to identify and respond quickly, whilst also meeting regulatory timeframes for handling complaints and supporting vulnerable customers.

Netcall: AI-Powered Sentiment

The specialist bank has worked with Netcall to deploy AI-powered sentiment analysis using Netcall’s Liberty Create platform. The solution reduces manual effort and improves operational efficiency by bringing customer emails from multiple mailboxes into a single interface. Incoming messages are automatically analysed to identify dissatisfaction, highlighting cases that may require faster intervention. This allows urgent cases to be prioritised, helping HTB to resolve issues before they escalate and improve the customer experience.

“Our AI-powered sentiment analysis solution rapidly processes vast amounts of email data. Its efficiency allows our team to focus on resolving customer enquiries and issues rather than sorting priorities. The streamlined process ensures swifter responses and better customer outcomes, upholding our reputation for exceptional customer service.” Ed Eames, Head of Customer Savings Operations at Hampshire Trust Bank.

The application was built by the Hampshire Trust Bank development team using Liberty Create. It worked closely with Netcall to integrate AI sentiment analysis into existing processes. Customer-facing teams were involved throughout to ensure the solution aligned with established workflows and regulatory requirements.

Customer Service Control

A key benefit of the approach is the level of control it gives internal teams. Keywords, sentiment thresholds, and classifications can be adjusted directly. This allows rapid refinement as customer behaviour changes or new regulatory considerations emerge, without waiting for development cycles.

“Liberty Create has enabled my development team to work with remarkable agility. The ability to rapidly create and refine applications to meet ever-evolving business needs has significantly enhanced our efficiency. This allows us to deliver a wealth of new features to end users and customers with speed. With the integration of AI, we’ve been able to advance our processes while ensuring exceptional customer service. Our Sentiment Analysis application launch is a prime example of this.” Trina Burnett, Head of Engineering at Hampshire Trust Bank.

The sentiment analysis system also supports automated and ad-hoc reporting. This provides a single source of insight into customer interactions and actions taken. This helps reduce manual effort, supports audit and compliance activity, and enables teams to continuously improve customer service operations.

“As scrutiny around customer experience and accountability increases across UK financial services, the ability to listen, adapt and respond at pace is becoming a defining capability for banks seeking to maintain trust and service standards,” said Alex Ballingall, Key Account Manager at Netcall.

“HTB’s approach shows how banks can use AI-driven insight practically. Turning customer communications into faster action without adding operational complexity,” Ballingall concluded.

About Netcall

Netcall is a leading provider of low-code and customer engagement solutions. A UK company quoted on the AIM market of the London Stock Exchange. By enabling customer-facing and IT talent to collaborate, Netcall takes the pain out of big change projects. It helps businesses dramatically improve the customer experience, while lowering costs. Over 600 organisations in financial services, insurance, local government and healthcare use the Netcall Liberty platform to make life easier for the people they serve. Netcall aims to help organisations radically improve customer experience through collaborative CX.

Learn more at netcall.com

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Payments
  • Digital Strategy
  • Fintech & Insurtech
  • InsurTech

Obrela’s Dr. George Papamargaritis (EVP MSS) and Dr. Konstantia Barmpatsalou,  (Blue Team Support Manager) on why embracing a risk-led cybersecurity model will leave financial organisations better positioned not just to meet regulatory requirements but to strengthen resilience, protect customers and uphold the trust that is so essential to the future of financial systems

Cybersecurity in the financial sector was once viewed as a compliance-driven discipline. But as attackers have increasingly targeted institutions with sophisticated, persistent and often internally driven campaigns, it has become a strategic priority.

According to the Digital Universe Report H1 2025, financial services were the second most targeted industry globally, accounting for 19% of all observed cyberattacks. This reflects both the sector’s value to adversaries and the complexity of the digital ecosystems it now operates within.

Regulatory frameworks such as the FCA and PRA’s operational resilience rules, the EU’s Digital Operational Resilience Act (DORA) and NIS2 have strengthened baseline protections. However, the report’s findings demonstrate that regulation alone cannot deliver true cyber resilience. Institutions must adopt a strategic, risk-led approach that looks beyond compliance to understand real threats, behaviours and operational dependencies.

Tailored, Internal and Stealthier Threats

One of the most striking insights from the report is how targeted financial sector attacks have become. Industry-specific security risks now represent 32% of all incidents in the sector. This is an indication that adversaries are designing attacks using detailed knowledge of financial operations, from trading workflows to payment systems.

Internal activity is also a major concern. Suspicious internal activity accounts for 26% of detections across financial services, reflecting the frequency of compromised accounts, misused privileges and lateral movement. For a sector historically focused on defending the perimeter, this shift highlights the need for deeper visibility into user behaviour and identity-driven risks.

The wider threat landscape reveals adversaries are moving away from overt, signature-based attacks. In H1 2025, brute force activity made up 27% of global alerts, while vulnerability scanning accounted for 22% and known malicious indicators for 20%. Notably, direct malware payloads dropped to 0% of trending alerts, replaced by fileless techniques and living-off-the-land methods that bypass traditional defences.

For financial institutions, this is a challenge. Many compliance requirements still centre on endpoint protection, patching and malware controls. These will of course, remain important, but they cannot address threats that are increasingly behavioural, stealth-driven and identity-focused.

Operational Complexity

The financial sector’s cyber risk is intensified by its expanding operational footprint. Cloud adoption, open banking, digital identity models and extensive third-party ecosystems have all created new points of exposure. Financial services operate within a global digital infrastructure that is both vast and increasingly interconnected. This level of complexity cannot be effectively protected through compliance checklists alone.

Regulators are recognising these realities. DORA’s emphasis on ICT third-party risk, operational resilience testing and continuous oversight reflects the need for more proactive, intelligence-driven approaches. But DORA still only sets a minimum standard. True resilience requires institutions to move beyond regulatory expectations and embed cybersecurity into broader business strategy.

Strategic, Risk-Led Cybersecurity

A risk-led approach begins with understanding the threats that pose the greatest risk to operations and customers. Financial institutions remain priority targets for groups such as FIN7, TA505, Cobalt Group and various state-backed actors. Their tactics, such as credential harvesting, remote access tools, web-injection frameworks and lateral movement, are specifically designed to exploit the digital fabric of financial services.

This evolving threat profile puts identity and behaviour at the heart of cyber defence. With credential-driven and internal threats so prevalent, institutions must prioritise behavioural analytics, continuous authentication and zero-trust models that verify users and devices contextually rather than relying on static controls.

Strategic cyber resilience also needs to have continuous assurance. Traditional audits, annual testing and scheduled penetration exercises cannot keep pace with rapidly evolving threats. Leading institutions are shifting toward continuous control monitoring, automated attack simulation and persistent adversarial testing. These practices align with the Bank of England’s CBEST framework and demonstrate a sector-wide move toward ongoing, intelligence-led assurance.

Crucially, cyber risk must be treated as an operational issue, not just a technical one. Embedding cybersecurity into enterprise risk management, financial planning, product development and board oversight is essential. This integrated approach also mirrors the direction of FCA and PRA regulation, which increasingly emphasises governance, accountability, and resilience across the entire organisation.

Beyond Compliance

Financial services underpin national economies and public confidence. As digital ecosystems grow and adversaries become more sophisticated, the sector faces a dual challenge: meeting rising regulatory expectations while defending against complex, targeted attacks. It is clear that cybersecurity must evolve from compliance-driven activity to a strategic capability built on intelligence, continuous assurance and behavioural insight.

Institutions that embrace this risk-led model will be better positioned not just to meet regulatory requirements but to strengthen resilience, protect customers and uphold the trust that is so essential to the future of financial systems.

Learn more at obrela.com

  • Cybersecurity
  • Cybersecurity in FinTech
  • Digital Strategy
  • Fintech & Insurtech
  • InsurTech

Gregory Mostyn, CEO and co-founder of Wexler, on why the era of generalist AI tools is over, and how the future will focus on high-precision AI designed for specific industries

For decades, the UK’s professional services sector, including areas such as Law, Insurance, and Wealth Management, has argued that its business value is locked in its access to proprietary data and the specialised labour required to navigate it. Investors, lured by the moat of institutional knowledge, priced these companies accordingly. However, the first quarter of 2026 has seen significant AI disruption within the professional services market. The catalyst wasn’t a single event, but rather a move by foundational model providers that turned the industry’s most defensible assets into commodities. 

When Anthropic launched its specialised legal AI plugin, OpenAI integrated a real-time insurance underwriting engine directly into its interface, and Alturist Corp automated bespoke tax strategies, the market reacted harshly. As professional services titans such as RELX, MoneySuperMarket, and St James’s Place saw their share prices decline by more than 10% in a matter of hours, the message became clear: the era of treating AI as a ‘future risk’ is over. 

The market has been awoken to the fact that foundational AI models are no longer just plugins or nice ‘add-on’ tools; they are competitors. The move by foundation-model providers into professional services – like the legal sector – is not a one-off shock, but rather an inevitability. 

The Proliferation of Information 

Historically, a law firm’s competitive advantage was its access to information – repositories of case law, proprietary research, and historical contracts. Investors and clients valued these companies on the assumption that this data constituted an impenetrable barrier to competitors. Before AI entered the mainstream, the cost of extracting actionable information from thousands of pages of data required a small army of junior associates and hundreds of billable hours. 

In 2026, that moat has mostly evaporated. Recent benchmarks show that frontier models now achieve 80% accuracy on complex documents, compared with the 71% average of a human associate. More importantly, they do it at a fraction of the cost. It is now estimated that the inference cost for a system at the level of GPT-3.5 dropped by more than 280-fold between November 2022 and October 2024. It’s predicted that UK law firms will reduce their chargeable hours by 16% through the implementation of AI. 

The narrative that AI would be able to handle only ‘low-level’ tasks, such as NDAs or simple contract summaries, has all but evaporated. Anthropic’s move into high-stakes litigation support validates this trend. 

AI – From Swiss Army Knives to Scalpels 

An error made by many law firms when AI became entrenched within the market was to treat it as a ‘plug-in’, a nice-to-have built onto existing internal software. Many adopted general-purpose tools, often referred to as ‘Swiss Army knife’ solutions, that covered the breadth of legal work but lacked the precision, jurisdictional nuance, and risk-weighted requirements for high-stakes professional services. 

The 2026 market reaction highlighted the needs of a ‘scalpel’ approach – those that go deep in a specialised vertical within a legal workflow. For example, instead of a junior associate spending billable hours searching through case files to establish the facts of a case, they could use a ‘fact intelligence’ platform that can automate that process into minutes, whilst increasing accuracy by 95% versus 78% for human reviewers and up to 90% savings in large-scale litigation. The market is no longer rewarding firms for having information. Rather, it rewards those who can apply it at the lowest possible cost and friction. 

Reallocating Capital Across Professional Services

We’re already seeing investors withdrawing from the traditional software market and reallocating that capital into specialised AI firms. However, the risk for legacy players is that they are being disrupted from both ends. From the bottom, they are losing the efficiency game to generalist foundation models from companies such as OpenAI and Google, which are commoditising the ‘knowledge’ aspect of professional services, including basic advice and contract drafting. At the top, they are losing the expertise game to specialised firms that use AI as a precision instrument; their overhead would be lower than that of a traditional Magic Circle firm, allowing them to undercut prices while maintaining profit margins. 

The result is a massive reallocation of capital. Investments into vertical AI (AI built for one specific industry) are expected to surge to $115 billion by 2034. The market no longer bets on labour with tools, but on autonomous workflows. Investors have realised that the value lies in the middle layer – the software that sits between a general foundation model and a specific industry’s needs. 

Innovation or Obsolescence 

So far, the first market fluctuation of 2026 has taught us that you cannot outrun new technologies. To survive, firms must stop treating AI as an add-on and treat it as a foundation for their core business infrastructure. 

For UK professional services, the choice is no longer whether to adopt AI, but whether they can evolve quickly enough to avoid becoming the training data for companies building foundational models. The firms that remain in 2030 will recognise that the competitive landscape has changed. You’re not just competing with your peers, but with the compute cycles of the world’s most powerful AI labs. 

The era of generalist AI tools is over, and the future will focus on high-precision AI designed for specific industries. 

Learn more at wexler.ai

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Strategy
  • Fintech & Insurtech

Jack Bingham, Regional Director of Digital Native UK, Ireland & South Africa, Confluent on how data, treated properly, compounds in value to drive digital disruption

When I talk to founders and tech leaders, one question seems to consistently come up: what separates today’s disruptors from the last decade’s? In 2010, being cloud-first was what made investors sit up and take note. In 2026, it will be streaming-first.

I’ve spent the last year or so working closely with companies that are, quite literally, building their businesses in real time. For them, real-time capability isn’t a department or a layer that supports the business. It is the business. The acid test is simple: how quickly can you capture a critical event – a payment, a login, a failed delivery – and respond with the next best action? That focus shapes how they build products, structure teams, and think about innovation.

Here’s what I’ve learned from them:

Lesson 1: Data is a Product, Not a By-Product

Many traditional companies still treat data as something to collect, store, and analyse later. The new generation of businesses, on the other hand, treats it as a reusable, governed product that everyone can access. When it’s built and shared this way, teams stop rebuilding the same foundations for every new use case. They move faster because they’re working from a single, trusted view of the truth, shortening product cycles, speeding up iteration, and spending more time solving problems that matter.

That mindset, rather than the size of the tech stack or the number of engineers, is what sets disruptive businesses apart. In these organisations, technology, data, and business strategy move in lockstep. Decisions aren’t passed up and down hierarchies, they’re made by teams who understand both the data and the customer problem in front of them.

When you can trust your data and respond in real time, innovation stops being a department. It becomes a reflex.

Lesson 2: Real-Time isn’t a Feature, it’s a Foundation

A few years ago, one of the world’s largest supermarket chains realised it didn’t have a single real-time view of its inventory. Without that visibility, omnichannel experiences were impossible. Once it shifted to a streaming architecture, every transaction became a live event that updated stock, triggered supply chains, and even made it possible to get your groceries delivered straight to your kitchen fridge – coordinated through live inventory data, smart home devices, and real-time security feeds.

That’s the practical power of streaming: it connects what happens in your business to what should happen next so you can provide products and services that take customer satisfaction to a whole other level. Real-time data stops being a reporting tool and becomes the foundation of every decision, interaction, and innovation.

I often ask businesses what they would do differently, if they knew the state of every event in their organisation. The most forward-thinking companies already have the answer. They’re using streaming to turn business events into reusable building blocks, creating new experiences by connecting the data they already have in smarter ways.

Lesson 3: Culture is the Multiplier

Being streaming-first is only half about architecture. The other half is attitude. The best digital enterprises don’t wait for permission to experiment. They map their most important business events, align teams around them, and empower people at every level to react fast and learn faster.

And the difference is visible. Feedback loops are shorter. Structures are flatter. Failure is treated as information. This culture of continuous experimentation is why these companies can move at the pace they do.

We often run ‘Event Storming’ workshops with teams to map their critical business events. The idea is to create alignment – getting people from engineering, product, and operations to agree on what really matters and how those moments connect. That process reveals a lot. 

Digital disruptors go beyond simply deploying streaming architectures. They build streaming mindsets. Leadership plays a crucial role here: data must be treated as a strategic asset. If it isn’t up top, it won’t be anywhere else in the organisation either.

Lesson 4: Streaming and AI will Converge

AI is only as good as the data you feed it. Unfortunately, most enterprises are still feeding it yesterday’s data. Streaming-first companies already know this. They’re building intelligent data pipelines that give AI the context it needs to make decisions in real time.

That’s how the next generation of innovators will pull ahead: not by having bigger models, but by having cleaner, faster, more connected data. Streaming is what will let AI move from reactive to predictive… and from predictive to autonomous.

Too many organisations are cutting investment in data while pouring money into AI projects. But AI without quality data is just expensive guesswork. The companies doing this well understand that data has to be a product in its own right. And when business and technology teams design around that shared understanding, innovation follows naturally.

Lesson 5: The Mindset of the Next Disruptors

If I were starting a company tomorrow, I’d look closely at the critical events that run my business. I’d then make sure I had a way to capture those in the stream, make them reusable, and build every product and process around them. 

When your business can see and act on what’s happening in the moment, you gain something no traditional architecture can give you: time. And in the next wave of disruption, that’s the only advantage that really matters.

If we look to who we can learn from in the coming months, it’s financial services and healthcare that are moving the fastest. Real-time fraud detection, patient monitoring, and risk management are becoming operational necessities – and these industries will set the benchmark for real-time data excellence. 

Looking Ahead to 2026

By 2026, I don’t think we’ll talk about ‘real-time’ as a differentiator. It will simply be how modern businesses operate. Batch systems won’t disappear, but they’ll coexist within a single, streaming-first platform that delivers data whenever it’s needed.

Once every process can react instantly, the question then becomes: can it anticipate? Can it learn? That’s where AI and streaming meet and where we move from reactive to autonomous enterprises that not only respond to the present but adapt to what’s coming next.

Data, treated properly, compounds in value. The decisions you make with it become faster, sharper, and more confident. The companies that understand this will be the ones still leading when today’s titans look like yesterday’s news.

Learn more at confluent.io

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Payments
  • Digital Strategy
  • Embedded Finance

Jonny Combe, President and Chief Executive Officer, PayByPhone on how urban mobility is evolving from car-centric to multimodal and the opportunity the parking industry has to play a central role by integrating payment infrastructures that support a more connected, flexible mobility ecosystem

The journey has changed. Over the past few years, the mobility industry has undergone seismic shifts toward more digital experiences. Cash payments continue to disappear and in the US made up only about 14% of all payments in 2024. Over half of the US adult population make use of mobile wallets and many companies provide payment opportunities via apps for their services. While this has made some processes more efficient and streamlined, it has also resulted in very fragmented data streams.

Consider this scenario: a commuter drives an Electric Vehicle (EV) to a rural or suburban transit hub where they park and charge, then boards a train into the city. The final mile is completed on an e-scooter, shared bike or another mode of public transport to reach their destination. One journey, four separate payment interactions across four different apps.

This is the daily reality for millions of commuters, and it exposes a fundamental challenge that not only the parking industry, but also the mobility industry as a whole must confront. Continuing to build payment infrastructure for journeys that end at the curb, is no longer enough; we should be facilitating one system for these evolved modern journeys.

City Centres Reimagined

A substantial amount of land in city centers has traditionally been dedicated to parking, but there is a growing trend where we see city centers worldwide redesigning their urban space. On-street parking is giving way to pedestrian zones and cycle lanes. Traditional car parks are transforming into multimodal hubs that are integrating EV charging, micro-mobility stations, and last-mile logistics. Technologies like automatic number plate recognition are helping to eliminate friction at entry and exit points. However, backend complexity of the redesign of urban mobility has grown exponentially.

Local authorities now juggle relationships with cashless payment providers, meter operators, EV charging networks, micro-mobility vendors, and logistics partners. Each bring their own payment rails, reconciliation requirements, and data formats. For many municipalities, simply reconciling payments between a meter provider and a digital parking platform already strains finance teams. Adding multiple mobility partners brings a significant extra load to existing operational capacity and the operational burden is only part of the equation.

The Hidden Cost of Fragmentation

The more critical issue is strategic: fragmented payment systems can create fragmented data, and fragmented data can undermine intelligent policy.

When payment information sits in siloed systems across multiple vendors, authorities lack the consolidated view needed to answer essential questions:

  • How does parking behavior correlate with public transit usage?
  • What pricing strategies would optimize utilization across the entire mobility network?
  • Where should we invest in EV infrastructure based on actual demand patterns?
  • How do we measure progress toward carbon reduction targets?

Without integrated payment and usage data, cities are making significant capital infrastructure decisions with an incomplete picture.

The Payment Layer as Strategic Infrastructure

Forward-thinking cities are, however, beginning to recognize payment infrastructure not as back-office plumbing, but as strategic architecture for the mobility ecosystem.

The solution lies in centralized payment platforms that serve as a unifying layer – ‘super apps’ as they are called in other industries. The backend of these apps should be able to consolidate transactions across multiple mobility services, automate complex multi-party reconciliations, and create unified data lakes that enable AI-driven insights.

This approach can deliver immediate operational relief: finance teams spend less time manually reconciling disparate systems, and the strategic value compounds over time. With consolidated data, authorities can model the true economics of mobility transitions, identify underutilized assets, dynamically price services to manage demand, and measure environmental impact with precision.

Building for What Comes Next

The parking industry has always been about managing physical space, yet the future is about orchestrating mobility experiences. The question for industry leaders isn’t whether parking will integrate with broader mobility systems but whether parking operators will architect that integration intentionally.

Doing so requires a fundamental rethink of the role parking payment providers play in the payment value chain, while investing and building the technology and the payment infrastructure that makes seamless, sustainable urban mobility possible.

The infrastructure we build today will determine whether cities can deliver on their mobility and sustainability commitments tomorrow. For parking industry leaders, this is both a challenge and an opportunity: to evolve from transaction processors into the essential connective layer of urban mobility. Those with the vision, and the technological ability to rise to that challenge, have a real opportunity to lead the next generation of multimodal mobility payments.

About PayByPhone                                                     

PayByPhone is a global leader in mobile parking payments. We simplify journeys for millions of UK drivers with smart, intuitive technology and user-focused features. In addition to fast, secure parking payments, drivers can also locate nearby fuel stations and EV chargers – and pay for EV charging – all in the PayByPhone app. We work with over 1,300 cities and operators across the UK, North America, France, Germany, and Switzerland. More than 110 million drivers worldwide have downloaded the PayByPhone app to simplify their parking and vehicle payments to date. To discover how our products and services can elevate your driving experience.

Learn more at paybyphone.co.uk

  • Digital Payments
  • Digital Strategy

Trilliam Jeong, CEO at WealthBlock on why pairing credit discipline with real-time reporting will deliver a better position to hold onto investor confidence

There’s no shortage of noise around the direct lending market right now. On one hand, deal activity remains strong, capital continues to flow in and investor appetite hasn’t wavered. On the other, competition is fierce, rates are edging down and macro conditions are less forgiving than they were a year ago.

But strip out the headlines and the fundamentals still look solid. The demand is there, both from borrowers looking for speed and flexibility and from investors chasing yield and consistency. That puts direct lenders in a strong position, provided they’re prepared to adapt.

Operational Shift

One of the most significant shifts underway is operational. We’re seeing real adoption of technology across the mid-market from AI-assisted onboarding to fully digitised investor dashboards. This isn’t just cosmetic. Faster processes and clearer visibility mean capital can move more quickly, investors stay better informed and managers have more room to protect margins, even in a tightening spread environment.

LP expectations are shifting too. Many now expect a consumer-grade digital experience from the platforms they commit capital to. They want real-time access to reports, frictionless communication and clarity around how their money is being deployed. That shift in expectations is accelerating the tech arms race across the mid-market. It’s no longer about who can show the best deck but rather can deliver the best infrastructure. And as investor sophistication grows, that infrastructure is becoming a non-negotiable.

Digital Infrastructure

That shift is also influencing how mandates are awarded. Institutional investors increasingly view digital infrastructure not as a bonus, but as a sign of long-term readiness. Questions that once focused solely on deal pipeline and past performance now extend to data availability, reporting cadence and system resilience. It’s not just about what a manager can deliver but how transparently and reliably they can do it. As more allocators run tighter operational due diligence processes, digital maturity is quietly becoming a competitive edge. Platforms that can demonstrate consistent, tech-enabled processes are better positioned to win, and keep, capital.

That matters, because rates may not stay where they are. Increased competition is already putting pressure on pricing. But firms with strong digital infrastructure are better placed to absorb it. Operational leverage, not just headline yield, is becoming a key differentiator.

Scaling Up

There’s also the issue of scale. Consolidation is real and it’s reshaping the market. The biggest managers are only getting bigger and their resources are hard to match. But size alone isn’t the whole story. Technology is giving smaller and mid-sized players a way to compete on experience even if not on balance sheet. A seamless, professional, tech-forward investor journey can carry real weight with LPs, particularly those who value speed and clarity over brand.

That’s especially relevant for new entrants. There’s no shortage of managers in direct lending and standing out requires more than just a different strategy. Yes, some are carving out a niche in NAV lending, venture debt or structured credit but what really earns attention is trust. That comes from clear communication, repeatable processes and a level of transparency that goes beyond the marketing deck.

The Outlook for Lending

The macro outlook is part of the equation too. With corporate defaults expected to rise, discipline is going to matter more than it has in recent years. Underwriting strength, sponsor alignment and proactive portfolio monitoring are back in focus. Investors will be watching for signals that managers are prepared for downside risk. The tougher the environment, the more exposed weaker systems become. Inconsistent reporting, vague valuation logic or delayed updates might have been tolerated in a bull market – but not now. Allocators want to know how a manager will behave under stress, not just how they perform when everything’s going to plan. That makes operational maturity as important as deal-level returns.

Firms that pair credit discipline with real-time reporting will be in a better position to hold onto investor confidence. Allocators are already asking more pointed questions and looking for managers who can back up claims with data. There’s still plenty of room to grow in direct lending, but it won’t be enough to rely on past performance or broad market tailwinds. The firms that outperform from here will need to be efficient, responsive and trusted. In a more competitive, more transparent and more regulated market, those are the traits that will endure.

Learn more at wealthblock.ai

  • Blockchain & Crypto
  • Embedded Finance
  • Fintech & Insurtech

JP Cavanna, Director of Cybersecurity at Six Degrees, on balancing the risks and benefits of AI in cyber defence strategies

Undeniably, AI is here to stay. Having become part of day-to-day life, it’s hard to remember what life was like without it. But when it comes to cybersecurity, is it causing more harm than good?

Recent research outlines that 73% of organisations have already integrated AI into their security posture. The technology is clearly becoming a cornerstone of modern cybersecurity. Organisations are turning to AI not just as a tool, but as a partner in security operations, leveraging its capabilities to identify malicious activity faster, guide investigations, and automate repetitive tasks.

For it to be truly effective, though, AI must be paired with human expertise – but this is where organisations are starting to become complacent. Given the growing sophistication of cyber-attacks, and even AI-powered attacks, many are removing the human element while expecting AI tools to do all the work for them, leaving them even more vulnerable to threats. This overreliance risks creating blind spots, where critical thinking, contextual understanding, and instinct are overlooked. Without the balance of human judgement, AI can amplify mistakes at scale, turning efficiency into exposure.

The Cybersecurity Paradox

This situation puts many organisations in a potentially difficult position. On the one hand, AI can significantly improve the efficiency of security operations. In the typical SOC, for example, AI technologies can process alerts in around 10-15 minutes. This represents a significant improvement over human analysts, who can easily require twice as long for the same task.

Aside from the obvious efficiency gains, applying AI to these repetitive, time-pressured processes can also significantly reduce the scope for human error. And in turn, take considerable pressure off security analysts. Going some way to battling alert fatigue, an increasingly well-documented and persistent problem. In these circumstances, valuable human experience and specialist expertise can instead be more effectively applied to complex investigations, strategic decision-making, and other higher-value priorities.

On the flipside, however, AI remains prone to generating inaccurate or misleading insights, and users may not realise they are applying the wrong information to potentially serious security issues. Similarly, habitual blind trust in AI outputs can easily erode performance levels and even introduce new vulnerabilities. There is also scope for sensitive data to enter public environments, with the potential to cause compliance issues. This kind of information can also reappear in future versions of the AI model in question, therefore resulting in further data exposure risks.

Parallels with IoT Adoption

The situation mirrors that seen in the early days of IoT adoption, where the rush to innovate would often override security considerations. In this current context, therefore, human oversight and vigilance are extremely important. Clear governance frameworks, defined accountability, and continuous monitoring must underpin any AI deployment. Therefore ensuring that innovation does not outpace risk management or compromise long-term resilience.

A Growing Arms Race

If that wasn’t challenging enough, threat actors are also in on the AI boom in what has already been described as an ‘arms race’. In practical terms, AI tools are already widely used to create more convincing phishing attacks free from some of the more obvious traditional tell-tale signs of criminal intent, such as imperfect grammar or a suspicious tone.

Deepfake technology has also raised the stakes. We’ve all seen how convincing AI-generated video has already become. This is now finding its way into real-world examples, with one fake video reportedly causing a CFO to authorise a large financial transfer as a result.

At the same time, technology infrastructure is constantly under attack by AI-powered tools. They can be used to analyse defensive systems and identify weaknesses faster than humans. The net result of these developments is that defenders constantly play catch-up, as they can only respond to new attack vectors once discovered. The underlying takeaway is that at present, AI cannot be trusted to operate autonomously. Instead, human intuition, scepticism and contextual understanding remain essential to spotting emerging tactics.

As attackers refine their methods at machine speed, organisations need to resist the temptation to match automation with automation alone. They must double down on strategic thinking and continuous skills development.

Balancing Benefits and Risk

So, where does this leave security leaders who are looking to balance the benefits and risks? Firstly, and to underline a fundamental point, while AI offers scale and speed, it cannot replace critical human oversight. Organisations should view AI as an enhancer, not a replacer. Success lies in promoting partnership, not substitution.

Strong governance is vital. This should start with clear AI usage policies that define what can and cannot be shared with AI tools, while proper data classification and access control ensure that sensitive information is protected. In addition, regular validation of AI outputs can help to prevent inaccurate or misleading results from being unnecessarily acted upon.

Then there are the perennial challenges associated with employee awareness training, which is vital for avoiding complacency and understanding the limitations of generative AI tools. Cyber leaders should also monitor how AI is being used inside and outside the corporate environment, as staff often experiment with tools on personal devices.

Get this all right, and security teams can put themselves in a very strong position to embrace AI, safe in the knowledge that they have the guardrails and processes in place to balance innovation and efficiency with effective human-led oversight. Ultimately, success will depend not on how much AI is deployed, but on how intelligently it is governed and refined alongside the people responsible for securing an organisation.

Learn more at Six Degrees

  • Artificial Intelligence in FinTech
  • Cybersecurity
  • Cybersecurity in FinTech
  • Data & AI
  • Digital Strategy

Dan Nichols, Chief Technology Officer at virtualDCS, on why cloud resilience in the financial services sector hinges on shared accountability and an assume-breach philosophy

A powerful catalyst for transformation, the cloud is reshaping how organisations compete in the financial services sector. Beyond significant cost savings and flexibility, leaders are eager to unlock the potential of AI-driven insights, intelligent automation, and real-time business modelling. And, in a space governed so strictly by data sovereignty and privacy policies, the cloud’s ability to localise, encrypt, and control data has made it a key enabler of compliance and customer confidence.

But as threats become more frequent and sophisticated – with attackers now targeting shared platforms and partner supply chains – organisations can no longer rely on their own defences alone. For true digital resilience, shared accountability, collective readiness, and clear governance across every cloud touchpoint are equally non-negotiable.

All Eyes on the Money

The industry sits at a valuable intersection of data, technology, and finance. A combination that makes it uniquely attractive to attackers. It holds some of the world’s most sensitive data, directly underpins the flow of global capital, and operates through deeply complex and interconnected systems. With every integration increasing the risk of exposure. Ultimately, the attack motivation is as simple and relentless as it is in most sectors: monetary gain. Cybercriminals target institutions precisely because of the value at stake and the speed at which disruption translates to loss.

How the Threat Landscape is Evolving

Ransomware groups may see insurers and payment providers as high-yield targets. They understand even seconds of downtime can induce multi-million pound losses. Under pressure to protect customer trust and avoid regulatory penalties, some firms may choose to pay in order to restore their service quickly. This dangerous perception only encourages repeat targeting and paves the way for damage to spread even further. Yet it remains a common response tactic among many.

At the same time, the rise of supply chain and third-party attacks has made it possible for criminals to bypass even the most well-defended cloud environments. By exploiting shared platforms, managed service providers, and cloud-hosted applications, perpetrators can move laterally across multiple organisations at once, amplifying both the reach and impact of their attacks. In other words, infiltrating one vendor’s weakness can cripple an entire network in one carefully coordinated strike. And, since some firms may overlook the cloud’s shared responsibility model – presuming end-to-end security sits solely with their cloud provider – multiple blind spots can inevitably emerge, creating easy openings to exploit.

In an environment where boundaries blur and dependencies multiply, traditional perimeter-based defences are no longer enough. Hybrid and multi-cloud infrastructures demand continuous visibility, faster detection, and coordinated response across every partner and provider. The goal is not simply to prevent breaches, but to withstand and recover from them collectively. It’s about recognising that in today’s ecosystem, no financial institution is secure in isolation.

Inside the Ransomware Economy

Evolving beyond the scattergun attacks of the past, ransomware now operates as a professionalised, profit-driven ecosystem, where malicious actors collaborate, trade intelligence, and lease attack tools much like legitimate software vendors. The rise of ransomware-as-a-service (RaaS) has even lowered the barrier to entry, giving less skilled affiliates access to ready-made payloads and automated encryption kits in exchange for a percentage of the ransom.

What makes it especially destructive is the precision and psychology behind the attacks. Rather than randomly striking, attackers conduct weeks of reconnaissance – learning behaviours, studying employee hierarchies, and identifying systems most critical to operations. They often infiltrate through phishing emails or compromised credentials, quietly moving laterally through the network to gain elevated access. Once embedded, they disable defences, exfiltrate sensitive data, and target backup repositories before finally encrypting production systems.

At that point, the goal shifts from technical control to financial coercion. Victims are locked out of their systems and presented with a ransom note demanding payment, sometimes in cryptocurrency, in exchange for a decryption key. Increasingly, the threat includes public exposure of stolen data – a tactic designed to pressure leadership into paying to protect their reputation and customer trust. Even when ransoms are paid, recovery is rarely clean: data may be incomplete, corrupted, or resold on the dark web, and repeat targeting is common once an organisation is identified as a payer.

It’s this blend of stealth, strategy, and human manipulation that makes ransomware so difficult to defend against. By the time the encryption begins, attackers have already spent weeks ensuring recovery options are limited. This background isn’t designed to scaremonger, but to highlight why resilience must start long before an attack ever reaches the endpoint.

The Foundations of Ransomware Resilience

Ransomware resilience isn’t achieved through a single product or policy – it’s the outcome of strategic, technical, and cultural alignment. Financial institutions, in particular, must approach it as a continuous process of readiness: Anticipating compromise, containing impact, and restoring normality quickly and transparently:

Assume-Breach Philosophy

The first step is shifting from a defensive mindset to an assume-breach philosophy. In practice, this means recognising that even the most sophisticated systems can and will be breached – and building architectures and response strategies designed to limit damage when this happens. It’s a pragmatic approach, grounded in the reality that attackers are increasingly sector agnostic. No organisation is too small or too secure to be targeted, but the financial sector remains a favourite because it offers both high disruption value and potentially significant monetary reward.

Building meaningful resilience, therefore, demands layered defence and disciplined execution. The goal is to slow attackers down at every stage – detecting them early, limiting lateral movement, and ensuring business continuity when systems are disrupted. Behavioural analytics and continuous monitoring can surface and neutralise subtle anomalies that would otherwise go unnoticed – such as phishing, spear phishing, and malware, with email still the number one entry point for ransomware.

Zero Trust & MFA

Meanwhile, zero trust policies and multi-factor authentication methods add a second layer of protection, blocking unauthorised access even if credentials are compromised.

When incidents do occur, a well-practised response framework ensures action is fast and coordinated, minimising disruption across critical systems, with the ability to switch to secure replica environments to keep operations running while remediation takes place. Secure, immutable, air-gapped backups underpin it all, providing a safety net that guarantees recovery can begin from a clean and uncompromised state.

Human readiness is equally critical. Technology can contain an attack, but only people can recover from one effectively. Regular simulation exercises, incident rehearsals, and cybersecurity awareness training help teams respond calmly and cohesively, transforming response from reactive to instinctive. This operational maturity is reinforced by strong governance. Frameworks such as DORA, NIST, and ISO 27001 provide the structure to align technical teams, compliance leads, and executive decision-makers around shared resilience goals. When combined with skilled practitioners and clear accountability, they embed security into ‘business as usual’ – moving resilience from a strategy to a sustained organisational capability.

Why Multi-Layered Backup is Critical

When ransomware strikes, the speed and integrity of data recovery determine whether disruption lasts minutes or days – and whether the impact cascades through wider global markets. As the last and most decisive line of defence when every other control fails, it’s also fundamental to customer trust and compliance. Yet too often, backup is treated as a static safeguard rather than a dynamic resilience layer.

Since modern ransomware often seeks out and encrypts traditional backups first, a single backup copy or centralised repository is no longer sufficient. True resilience today depends on a multi-layered approach – combining offsite or cloud-diverse storage, immutable data copies that cannot be altered or deleted, and isolated environments to protect against lateral movement.

How frequently these backups are tested is equally important. Too often, financial institutions only discover weaknesses when recovery is already underway, at which point strategies can’t be magically strengthened, and it becomes a race against the clock to minimise downtime and reputational fallout. Regular, automated recovery testing changes that dynamic. It not only confirms that files can be restored, but provides verifiable assurance that systems come back online in the correct order, data dependencies remain intact, and teams have the muscle memory to act quickly and confidently when the worst happens.

The Power of Shared Accountability

In a digital economy so deeply interconnected, no organisation operates in isolation. This is especially true in financial services, where supply chains and service providers form the backbone of day-to-day operations. While this interdependence is a strength in many ways, it also means resilience is no longer defined by how well a single institution can defend itself, but by how effectively every partner in its ecosystem upholds their part of the security chain.

This is where shared accountability becomes critical. It recognises that cloud providers, managed service partners, and financial institutions each have distinct but complementary roles to play in securing data, systems, and infrastructure. When accountability is clearly defined – and when partners collaborate rather than operate in silos – visibility improves, incident response accelerates, and the risk of systemic failure decreases.

Shared accountability also extends beyond contractual obligation. It’s about building a culture of collective readiness: sharing intelligence, rehearsing joint incident scenarios, and supporting smaller or less-resourced partners to raise their security baseline. The result is a unified entity capable of anticipating, absorbing, and recovering from disruption together.

Looking Ahead

To view cyberattacks as inevitable might seem pessimistic to some, but it’s an unfortunate truth that no amount of investment can eliminate risk entirely. In an era where threats are growing in both scale and sophistication, readiness becomes the true differentiator – particularly in such a high-stakes sector. For financial institutions, that means embedding security into culture, strengthening connections across supply chains, and continually testing their ability to withstand and recover as a united ecosystem. Only then can resilience become a strategic advantage rather than a defensive necessity, and unlock the cloud’s transformative potential with absolute confidence.

Learn more at virtualcds.co.uk

  • Artificial Intelligence in FinTech
  • Cybersecurity
  • Cybersecurity in FinTech
  • Data & AI
  • InsurTech

New research from myPOS, the European payments provider for small and medium-sized businesses, reveals that Britain’s shift toward tap-to-pay is leaving…

New research from myPOS, the European payments provider for small and medium-sized businesses, reveals that Britain’s shift toward tap-to-pay is leaving traditional PIN codes behind. As contactless becomes the country’s top payment preference, almost a third of young adults now admit they can’t remember the four digits once central to everyday spending.  

myPOS data reveals 29% of Gen Z struggle to remember, or have completely forgotten, their PIN. Highlighting how digital-first habits are shaping consumer behaviour. However, it isn’t just younger groups that are feeling the effects. One in five Boomers (20%) say they face the same issue as reliance on physical cards significantly declines. 

Contactless Payments

This shift has been driven largely by the dominance of contactless card and mobile payments. Over two-thirds of Brits (69%) say tapping, via card, mobile phone, or smartwatch, is now their primary method of payment. In contrast, just 16% rely mainly on chip and PIN, and only 14% primarily use cash. A further 10 % of Brits now live entirely wallet-free, using only their mobile or smartwatch for day-to-day spending. 

Convenience-led behaviours are accelerating the decline of PIN usage across the UK. Nearly half of British consumers (47%) say they would happily go completely contactless if it meant shorter queues in shops and venues. Flexibility and convenience (42%) and speed (34%) remain the largest drivers behind the rise of tap-to-pay.  

“As the UK embraces contactless and mobile payments, it’s clear that the traditional PIN is becoming less central to everyday transactions. Businesses and payment providers should ensure security and convenience go hand-in-hand, while recognising that consumer habits are evolving rapidly.”

Michael Ault, Country Manager at myPOS UK

  • Digital Payments
  • Fintech & Insurtech
  • Neobanking

Michael Ault, Country Manager at integrated payments specialists myPOS, offers strategic advice for SMEs looking to scale through digital transformation and diversification

Scaling a small business is one of the most rewarding, yet complex journeys for any entrepreneur. While growth brings opportunities for greater reach, higher revenue, and stronger market presence, it also demands foresight, discipline, and the ability to manage risk strategically. Securely integrating new technology is the main obstacle for 47% of SME’s, even though 76% of these businesses intend to expand their IT investment. This underscores a key point of tension, as many businesses want to grow through digital transformation but struggle to do so securely and sustainably.

The business landscape continues to evolve with changing customer expectations, technology, and economic conditions. For UK SMEs, the key to long-term success lies in achieving growth but also in building resilience. Sustainable scaling comes down to three principles: embracing technology pragmatically, diversifying intelligently, and investing in people and partnerships that strengthen resilience.

Leveraging Digital Transformation

Digital transformation is the foundation of business growth, especially for small business. Cloud-based solutions, automation, and data analytics help to streamline operations, reduce inefficiencies, and create better customer experiences. However, transformation must be purposeful, not performative.

The smartest approach is to scale technology investment incrementally, integrating flexible, modular systems that evolve with business needs. This approach not only lowers risk but also helps ensure digital maturity evolve over time. When SMEs use modular, cloud-based technology, operations run more smoothly and changes can be effectively analysed. Ultimately, resilience is not built through one-time upgrades but through a culture of continuous digital evolution.

Diversifying Revenue Streams

Depending on a single product, service, or market leaves a business vulnerable to sudden changes in demand. Diversification, when guided by customer insight and data can turn volatility into opportunity. Expanding into online sales, introducing subscription models, or targeting fresh customer segments can make income streams much more stable and sustainable.

At myPOS, we know that even simple changes based on data, such as adding additional payment options or tapping into cross-border e-commerce, can help cash flow and protect against market shocks. The goal of technology is to mitigate specific challenges without adding layers of complexity.

Investing in Employee Development

Your people are pivotal to your ability to grow as a business; empowered teams are the engine of sustainable scale. A team that feels supported and motivated will bring fresh ideas, adapt to challenges, and push the business forward. Investing in training, mentoring, and development opportunities builds skills that pay back in the form of innovation and improved performance.

In fast-changing industries, having employees who are confident in learning and adapting can make the difference between struggling through disruption and taking advantage of it. Equally, strong partnerships extend this resilience beyond the organisation. Building resilience at the team level creates resilience for the whole business, so fostering a culture of continuous learning and celebrating employee contributions is key to maintaining motivation.

Focusing on Financial Health and Flexibility

Financial resilience underpins sustainable growth. Scaling often requires upfront investment, and without healthy cash flow or reserves, opportunities can be lost. Monitoring income and expenses closely, cutting unnecessary costs, and preparing for seasonal fluctuations gives businesses more control.

Having flexible financing options, like credit lines, small business loans, or even crowdfunding, provides a level of agility. Instead of being caught off guard by unexpected challenges, businesses with financial flexibility are positioned to respond quickly and strategically.

Financial management software can make it easier to track performance, spot issues early, and forecast future needs. When you can see your finances in real time, you can make proactive, data-driven decisions instead of waiting for problems to happen. In markets that change quickly, this kind of financial management helps small firms plan with confidence, stay flexible, and establish a stronger base for long-term growth.

Prioritising Customer Relationships and Feedback

Your customers are not just buyers; they are advocates, sources of insight, and the foundation of repeat business and brand loyalty. Businesses that scale successfully often place customer relationships at the heart of their strategy by actively gathering feedback, responding quickly to issues, and personalising interactions, which shows customers they are valued.

This loyalty becomes a form of resilience. In periods of uncertainty, a base of satisfied, returning customers provides more stability than constantly chasing new ones. Successful businesses use CRM tools to track customer preferences and automate follow-ups so no opportunity to strengthen a relationship is missed.

Building Strategic Partnerships

Partnerships can accelerate growth while also spreading risk. Working with other businesses, organisations, or influencers can provide access to new audiences, shared expertise, or additional resources. Collaboration can also create opportunities for joint marketing, co-branded initiatives, or innovative product and service offerings.

In times of uncertainty, strong partnerships act as a support network. By aligning with others who share your values and vision, you create opportunities that are mutually beneficial and more resilient than going it alone. It is important to find partners whose goals and audiences complement your own for the best long-term impact.

The next stage of small business success will be defined by resilience rather than speed, the ability to adapt, recover, and continue to create value in the fact of uncertainty. For SMEs, this means developing adaptable growth plans that include flexible technology, diverse models and empowered employees.

Learn more at mypos.com

  • Data & AI
  • Digital Payments
  • Digital Strategy
  • Fintech & Insurtech

Ben Goldin, Founder and CEO of Plumery, explores the key banking trends for 2026 – from fraud and digital assets to stablecoins and AI applications

As we head into the second half of the decade, several emerging trends will come to the fore in 2026. The interconnectedness among these trends is also noteworthy. Artificial intelligence (AI) and progressive modernisation act as common threads.

A strong current throughout 2026 is the shift from customer-first banking to human-first banking. This relates to the concept of ethical banking. It focuses on creating financial services that have a positive social and environmental impact. 

Human-first banking aims to get even closer to the customer by understanding their actual human needs, rather than just consumer needs. For example, a bank should be acting as a coach to improve a customer’s financial health, not solely as an advisor on which products they should buy. Banks can build trust in a digital world through tailored and empathetic interactions, effectively simulating the experience customers formerly had with their personal banker.

To attain that level of hyper-personalisation, banks will need to be capable of processing vast amounts of transactional data, which can only be accomplished by deploying AI and big data tools. This requirement, in turn, will turbocharge progressive modernisation, another trend that has been bubbling under the surface for the past few years.

Traditional banks are using progressive modernisation to deal with legacy infrastructure that is not fit for purpose in a digital-first, AI-driven world. Instead of a big bang replacement of core banking systems, which is risky and can take years, banks are creating change from within existing architecture. Banking is leveraging technologies that support a multi-core strategy. With this approach, banks can add new cores for specific products that require greater agility and innovation. Modern cores are necessary for deploying the latest AI and big data tools because they provide a unified, real-time data foundation to deliver hyper-personalisation.

Fraud Threats

Fraud will remain a top concern throughout 2026. Adversaries use AI to expand the range of techniques, such as impersonation scams and identity theft, as well as accelerate and scale fraudulent activity.

According to the UK Finance Half Year Fraud Report 2025, £629.3 million was stolen by criminals in the first six months of this year, and there were 2.09 million confirmed cases across both authorised and unauthorised fraud. Card not present cases rose 22% to 1.65 million and accounted for 58% of all unauthorised fraud losses.

However, the good news is that there was a 21% increase in prevented card fraud in the first half of 2025. The £682 million which was stopped from being stolen is the highest-ever figure reported.

To combat fraud, new and improved tools to help banks identify, verify and onboard customers will come to market in 2026. The move away from paper-based identity (ID) and widespread adoption of digital ID will play a key role in the fight against fraud. Hence the UK government’s recently announced plans to roll out a new digital ID scheme.

In addition, I expect to see a fundamental shift in fraud detection using real-time behavioural analytics, data analytics for proactive risk identification, and other applications of AI and machine learning in this space.

Digital Assets and Stablecoins

Digital ID verification is also essential for fighting fraud in the digital assets and stablecoins space. Another hot topic at several banking and payments industry conferences last year.   

In 2026, digital assets and stablecoins will become much more mainstream. Banks have left the sidelines and are now actively engaged with running pilots. For example, in September a consortium of nine European banks, including CaixaBank, ING and UniCredit, announced an initiative to launch a euro-denominated stablecoin.

Central banks and regulators are developing a comprehensive agenda for digital assets. Banks will need to blend traditional fiat currencies and assets with their digital counterparts. This trend is also driving a progressive modernisation approach, as legacy core banking systems weren’t designed to manage digital assets, nor do they support moving money via blockchain-based rails. I expect to see more banks looking to deploy a multi-core strategy where digital assets are managed and stored elsewhere, but they can still provide a seamless and unified experience to customers.

AI

Last year, I predicted that the industry would adopt a ‘meet-in-the-middle’ approach to AI, with banks beginning to uncover the real value that the technology can deliver. I also predicted consolidation, recalibration and stabilisation in the market.

GenAI Banking Applications

My predictions held true, by and large. In 2025, institutions explored what is possible, relevant and achievable within the banking context, then specifically for each individual institution within its legacy architectures and technological environments.

This trend will evolve into more practical actions and initiatives over the next 12 months to provide greater clarity around where GenAI shines versus where it’s not applicable.

To gain clarity, it’s important to understand the difference between AI and GenAI. The latter is built on stochastic principles, which uses probability to model systems that appear to vary in a random manner. This means that the same input could potentially generate different outputs – this isn’t acceptable for automated financial operations, which requires much more determinism. Hence, I believe that GenAI will be used chiefly in scenarios where there’s human intervention.

One area where GenAI is applicable is in conversational applications. For example, banks will begin launching more interactive user interfaces. Customers will be able to interact with the bank as they would a human. Moving beyond simple, frequently asked questions to actual actions.

GenAI in the Back Office

Similarly in the back office, banks can leverage GenAI to provide guidance to their employees and accelerate certain tasks. Using the technology to improve efficiency and help staff do more will have a positive impact on customer experience. Processes will take much less time.

It will also help to bring unbanked segments or non-standard customers, which are difficult and costly to onboard because they require a bespoke assessment, into regulated financial services. Applying GenAI can make the bespoke process much more efficient by providing data-driven insights to support faster and smarter decision-making. This will make it much cheaper to serve these segments. Including smaller and medium-sized enterprises, which will drive financial inclusion and improve customers’ financial health.

Learn more at plumery.com

  • Artificial Intelligence in FinTech
  • Blockchain & Crypto
  • Cybersecurity in FinTech
  • Digital Strategy
  • Fintech & Insurtech
  • InsurTech

Can Taner, Chief Product Officer at Bitpace, analyses the most important shifts in the crypto and payments landscape

The crypto industry has entered a phase of unbundling. Instead of one-size-fits-all platforms that try to do everything, businesses are looking to specialised providers that solve real-world problems with focus and precision. This shift defines how leading firms now build products: client-first, agile, and compliance-ready by design.

Solving Real Problems with Real Products

The key to building effective crypto payment solutions is understanding what businesses actually need. Payments should help companies operate faster, more efficiently, and at lower cost. Rather than chasing every trend, the focus should be on creating tools that remove friction and add measurable value.

That’s why many providers now offer modular solutions designed to work seamlessly across industries:

  • Payment gateway – enabling merchants to accept crypto securely, with instant conversion to fiat if needed, reducing volatility risk.
  • Global settlements – allowing businesses to move funds cross-border quickly and cost-effectively, bypassing traditional bottlenecks.
  • API integration –giving partners the tools to embed crypto payment functions directly into their platforms, delivering a frictionless experience for end-users.
  • OTC services –providing access to large-scale crypto trades, executed with discretion, high liquidity, and competitive pricing.

Each product is tailored to solve a specific pain point. Instead of bundling everything into a rigid system, we focus on flexible modules that businesses can adopt individually or together.

Agility and Expertise in Product Development

For providers, being specialised also means being agile. Every client problem requires a different approach, and in-house expertise allows them to respond quickly without compromising quality. From compliance to sales to product development, teams must collaborate to find creative solutions that meet the highest regulatory and technical standards.

This agility is only possible if they invest in deep domain knowledge. Product and engineering teams that understand the nuances of payments, crypto, and regulation can adapt quickly to market changes while keeping compliance at the core of every decision.

How to Launch New Products Effectively

Launching a new product in crypto, or any fast-evolving sector, demands structure and discipline. The most successful teams follow a process that balances creativity with rigour.

  • Start with ideation. Listen closely to client feedback, analyse emerging trends, and identify where the market still falls short. Great products don’t begin with technology, but with a clear problem to solve.
  • Do the research. Test assumptions early, model potential use cases, and validate compliance requirements before writing a single line of code. A strong evidence base prevents costly pivots later.
  • Plan collaboratively. Bring product, legal, compliance, sales, and technology teams together from the outset. Aligning goals across functions ensures that innovation doesn’t come at the expense of security or scalability.
  • Build with resilience in mind. Security, interoperability, and performance should be built into the product from day one, not retrofitted at the end.
  • Test thoroughly. Create safe environments to simulate real-world conditions and identify weaknesses before launch. Testing isn’t just a single step, but an ongoing cycle.
  • Launch deliberately. Roll out in phases, gather user feedback, and support early adopters closely. A careful launch builds trust and sets the stage for sustainable growth.

Each of these stages is designed to reduce risk, accelerate learning, and maximise long-term value, principles that define successful product development in today’s crypto landscape.

How Specialisation Wins

Launching products in crypto is about precision and collaboration. The great unbundling of crypto is rewarding those who specialise, focusing on solutions that solve real business challenges. Specialised providers win because they put the client first. That focus on expertise and flexibility is what defines success in the new era of crypto payments.

Learn more at bitpace.com

  • Blockchain & Crypto
  • Digital Payments
  • Fintech & Insurtech

Ben Francis, Insurance Lead at Risk Ledger, on navigating cyber threats by reinforcing security from the inside out

Cyber insurance has evolved from a straightforward risk transfer mechanism into an integral component of enterprise risk strategy. As a result, the conversation has shifted beyond simply securing coverage to embracing three foundational elements: transparency in risk exposure, accountability for security measures, and active collaboration throughout the digital ecosystem.

Rather than asking ‘are you covered?’, the more pertinent question has become ‘can you demonstrate measurable risk reduction?’. Insurers and insureds alike are recognising that what matters now is how well an organisation understands and manages its digital exposure, especially across its extended supply chain. Recent data reveals that 46% of organisations experienced at least two separate supply chain-related cyber incidents in the past year, a clear sign that exposure often lies beyond direct control. 

From Risk Transfer to Risk Visibility 

In recent years, the cyber insurance market has matured significantly. Once viewed as a reactive safety net to cushion the financial impact of attacks, it is now becoming a proactive tool for managing and mitigating risk. This shift is partly driven by insurers, who increasingly expect and work with organisations to demonstrate strong security practices and a nuanced understanding of their threat landscape, including risks deep within their digital supply chains; an area where many businesses still fall short.

At the same time, the industry faces a growing challenge from systemic cyber risk within their portfolios, as many businesses rely on the same cloud providers, payment systems and digital platforms, increasing the chance of a single point of failure. Insurers must gain visibility into how policyholders are connected, not only to suppliers but to each other. Tools and frameworks that map and monitor these interconnections will be essential to avoid underestimating the wider impact of seemingly isolated cyber events.

Mapping Beyond Third Parties

It is no secret that cyber attackers often target the weakest link in a supply chain. These are not always direct suppliers, but fourth, fifth or even sixth-tier vendors that have indirect but critical access to systems and data. Unfortunately, many organisations lack visibility beyond their first tier, creating blind spots that attackers can easily exploit. From an insurance perspective, this presents a clear challenge. If an organisation cannot account for who it is connected to, it cannot adequately quantify its risk and neither can its insurer. Mapping these extended connections is more than just a technical exercise; it means actively practiced risk governance and responsibility. Insurers increasingly want to know how their policyholders are identifying and managing indirect dependencies, particularly in sectors like financial services and retail where disruption can ripple across entire markets.

Collaboration as a Risk Strategy 

One of the more underappreciated aspects of cyber resilience is the role of peer collaboration. Unlike physical incidents, cyber threats rarely exist in isolation. A single compromised vendor can impact multiple organisations simultaneously, a fact that has been highlighted by high-profile supply chain attacks such as SolarWinds and MOVEit

As a result, businesses need to think beyond their own perimeters and adopt a more collective mindset. This includes building relationships with industry peers, sharing threat intelligence and participating in sector-wide initiatives aimed at improving visibility and preparedness. 

In highly regulated sectors, such as insurance, this collaboration is increasingly being encouraged by oversight bodies. Frameworks like the Digital Operational Resilience Act (DORA) in the EU and initiatives from the Prudential Regulation Authority (PRA) and the Financial Conduct Authority (FCA) in the UK are pushing for more transparency around third-party risk. In this context, openness is no longer optional; it will be a regulatory expectation. 

For insurance providers, greater collaboration between policyholders also means better data on emerging threats and more accurate portfolio management. For businesses, it offers a chance to anticipate vulnerabilities that may not yet have hit their own networks but are affecting others in their industry. 

Proactive Transparency Builds Trust 

Organisations that take a proactive, transparent approach to cyber risk management are more likely to secure cover and potentially favourable terms, not just in terms of premiums, but also in access to additional services such as forensic support, incident response sources and legal counsel. 

Demonstrating a mature cyber posture is not about claiming perfection. No organisation is immune to breaches. What insurers are looking for is evidence of a structured approach: the existence of incident response plans, robust governance, effective supply chain risk management, and above all, an honest view of risk. 

A Shift in Mindset 

Ultimately, our understanding of cyber insurance must keep evolving. It should not be treated as a simple checkbox exercise, but as a collaborative relationship between insurers and the organisations they support – one built on shared insight, clear communication, and a drive for continuous improvement.

The organisations best equipped to navigate today’s threats will be those that prioritise transparency. Not only does it lead to stronger protection, but it also builds a culture of accountability that reinforces security from the inside out.

Learn more at riskledger.com

  • Cybersecurity
  • Cybersecurity in FinTech
  • Digital Strategy
  • Fintech & Insurtech
  • InsurTech

Jan Van Hoecke, VP AI Services at iManage and a highly experienced computer scientist with a passion for technology and problem-solving. on navigating the AI landscape for success in 2026

The AI landscape faces a number of big shifts in 2026. Agentic AI will undergo a reality check as enterprises discover the gap between marketing hype and actual capabilities, while organisations will go through a mindset change from treating AI hallucinations as crises to managing them, acknowledging the inherent limitations of the technology. There will also be a shift in how data will be structured in AI systems, to help the move from just finding facts (“what”) to understanding reasons (“why”).  Middleware application providers will face new challenges, as those vendors controlling both platforms and data will become more influential. Finally, standardised AI chat interfaces will evolve into smarter, dynamically generated, task-specific user experiences that adapt to immediate needs.  

Agentic AI Reality Check  

2026 is the year when agentic AI will get a reality check, as the gap between marketing promises made in 2025 and their actual competencies will become starkly visible. As enterprise adopters share the mixed successes of agentic AI, the market will begin to differentiate between true autonomous agents and the clever workflow wrappers.

Currently, many products promoted as AI agents are, in reality, rigidly programmed systems that simply follow predefined paths. They cannot independently plan or adapt in real-time to accomplish tasks. The current evolution of AI agents closely resembles the development of autonomous vehicles: early self-driving cars could only maintain lane position by relying strictly on preset instructions, and likewise, today’s AI agents are limited to executing narrowly defined tasks within established workflows. True autonomy, where AI agents can dynamically perform and solve complex problems better than humans and without human intervention, remains, for now, an aspirational goal.

AI Hallucination Goes from Crisis to Management

In 2026, the AI hallucination crisis will reach a critical juncture as organisations realise they must learn to coexist with the current fundamentally imperfect technology – until a new technology comes into play that can effectively address the issue. The focus will shift from AI hallucination ‘crisis’ to management.

As the industry deliberates who carries the liability for AI’s mistakes and inaccuracies – the tool makers or the users – enterprises will stop waiting for vendors to solve the problem and take matters into their own hands. They will adopt a variety of pragmatic risk mitigation strategies – from double and triple-checking work, and enforcing human oversight for high-stakes decisions, to taking hallucination insurance policies.

Major model builders acknowledge that current foundational LLM technology cannot eliminate hallucinations and ambiguity through incremental improvements alone. New technology is needed. Until then, and perhaps with the realisation that a technological breakthrough is years away, users will start driving the hallucination conversation – both by building systematic defenses within how they use AI, and forcing vendors to accept shared responsibility through better documentation and clearer model limitations.  

The Next Evolution in AI Data Architecture Lies in a Shift from “What” to “Why”

There will be a fundamental shift in how data is structured for AI systems, driven by the limitations of current approaches in answering complex questions. While Retrieval Augmented Generation (RAG) has proven effective at locating information and answering “what” questions, it struggles with the deeper “why” and “how” inquiries.

This limitation stems from RAG’s flat-file architecture, which excels at locating information but fails to capture the complex interconnections and relationships that underpin meaningful understanding and knowledge, especially in specialised domains like legal and professional services information.

The solution lies in AI-driven autonomous structuring of data. These systems will be better placed (than humans) to reveal critical relationships across multiple data points at scale, also highlighting the contextual dependencies essential for answering the “why” and “how” questions effectively.

Consequently, in 2026, with machines taking the lead, the method of structuring data will undergo a complete transformation, gradually eliminating the human role in creating structure, to reveal the business-critical interconnections across multiple data points.

Middleware AI Apps Squeeze

Given the essential link between data and AI, middleware companies that specialise in building custom applications layered on top of data platforms will begin to get pushed to the margins, forced to compete on niche features – while the core value of data and insight is captured by the platform owners. The true leaders will be those organisations that both own and manage their data, while also offering an AI-powered interface that enables users to interact with their data securely and efficiently, fully leveraging the capabilities of modern AI technology.

Shift to AI-generated, Task-Oriented User Interfaces

In 2026, the current traditional vendor-designed, standard AI chat-based user interfaces will transition to dynamically AI-generated task-specific user interfaces that adapt to users’ immediate needs. This represents a fundamental shift from standardised software – for example, where everyone uses identical Microsoft Word or SharePoint interfaces – to personalised, short-term user interfaces that exist only as long as the user requires them for a specific task.

This transformation will also address the critical pain point that users typically have – i.e, the crushing cognitive load of navigating bloated, feature-rich software. Instead of searching through endless menus in an overstuffed application like Excel, the user will simply state their goal – “Compare the Q3 and Q4 sales figures for our top 5 products and show me a chart” – and the AI will instantly generate a temporary, purpose-built interface – a “micro-app” – solely designed for that one single task.

In the context of dynamically generated user interfaces, both data storage and the creation of bespoke interfaces will be managed by AI. The AI organisations that will truly lead in providing such bespoke user interface-generating capability are those that possess and control their own data.

About iManage

iManage is dedicated to Making Knowledge Work™. Our cloud-native platform is at the centre of the knowledge economy, enabling every organisation to work more productively, collaboratively, and securely. Built on more than 20 years of industry experience, iManage helps leading organisations manage documents and emails more efficiently, protect vital information assets, and leverage knowledge to drive better business outcomes. As your strategic business partner, we employ our award-winning AI-enabled technology, an extensive partner ecosystem, and a customer-centric approach to provide support and guidance you can trust to make knowledge work for you. iManage is relied on by more than one million professionals at 4,000 organisations around the world.

Learn more at imanage.com

  • Artificial Intelligence in FinTech
  • Data & AI
  • Digital Strategy

Join 3,000+ industry decision makers and influencers at Smart Retail Tech Show for your opportunity to gain the tools to stay ahead in a competitive market

If you’re in retail and looking to stay ahead in a fast-changing market, the Smart Retail Tech Expo is a must-attend event. With thousands of industry professionals, the show is a hub for innovation, showcasing the latest technologies to enhance the customer journey, streamline operations, and drive growth. Whether it’s improving operations, enhancing safety, enabling contactless payments, or elevating the customer experience, it’s all on the show floor.

Regardless if you’re an independent retailer or part of a global chain, this is your chance to explore cutting-edge solutions!

Why Attend Smart Retail Tech Expo?

With only pre-qualified decision-makers and key influencers in attendance, it’s the perfect place to network, learn, and invest in the future of retail.

Visitors include Key Decision-Makers: CTO | Director of Retail Experience | Digital Transformation Director | Director of Innovation | Head of Customer Experience | Head of Digital & E-commerce

  • 3,200 visitors in attendance
  • 86% have purchasing authority
  • 76% are looking to source new products & services
  • 95% are senior management or above

Smart Retail Tech Expo is where retail innovation happens! Small business or global, discover cutting-edge solutions and in one place and shape retail’s future.

“Thanks @smartretailexpo! Packed with innovation, connected with lots of great problem solving startups doing amazing work in the space!”

Daniel Himsworth, Marks & Spencer

Keynote speakers include experts from e-commerce, retail, and tech backgrounds, alongside many more. They will be sharing insights from their personal journey and future-proofed strategies on customer engagement, globalising your business, social media commerce, and lots more. Come and hear from the industry’s biggest voices and learn about how to keep ahead in the white and private-label sector. Keynote speakers include expert insights from Pinterest, Tik Tok, Uber Eats, Alibaba and many more…

Register now for free tickets and gain insider knowledge… Beyond networking, Smart Retail Tech Expo offers expert-led sessions and insights into emerging trends, sourcing strategies, and retail technology—giving you the tools to stay ahead in a competitive market.

  • Event Newsroom
  • Events

Join over 25,000 entrepreneurs, SME owners, and senior professionals at Excel London for The Business Show London 2025

The world’s largest award-winning business event, The Business Show London 2025, is returning to Excel London on the 12th and 13th of November 2025. Join over 25,000 SMEs and startups at this premier London business expo, designed to provide the support and resources you need to start, grow, or scale your business.

As always, the event offers free expert advice and insights from some of the biggest names in the industry. Building on last year’s impactful keynotes, this year’s business conference features fresh faces—business leaders who have thrived in recent years. In today’s digital landscape, this is a rare opportunity to gain face-to-face experience, advice, and inspiration from those who have been in your position and succeeded.

Whether you’re looking to network at one of the best business networking events in London or seeking new business partnerships, this event is your gateway to unlocking growth. For enquiries, registration, or to book a stand, contact the team today and secure your place at the UK’s leading SME business event.

Why Attend The Business Show London?

This flagship London business expo offers unparalleled opportunities to connect with industry leaders, discover cutting-edge solutions, and gain practical insights to accelerate your business.

“Vibrant, electric and inclusive ….the atmosphere I felt today at The Business Show, London excel as a keynote speaker representing Google. Such an incredible turn out, engaged listeners and wonderful to also have 121’s with many entrepreneurs on business growth utilising AI!”

Harmony Murphy, Google

With thousands of exhibitors, inspiring keynote speakers, and interactive show features, the show caters to startups, established businesses, and everyone in between. Whether you’re looking to connect with startups, explore small business exhibitions, or attend the UK’s leading business growth conference, this event will equip you with fresh ideas and practical strategies to help your business succeed.

  • 500+ exhibitors
  • 86% attendee satisfaction rate
  • 75% attendees plan to return
  • 6 show features

Don’t miss your chance to participate in one of the top business networking events in London.

Register now for free tickets and join the UK’s most ambitious business minds to gain new partnerships, expert advice, and business development opportunities.

  • Event Newsroom
  • Events

Andy Swift, Cyber Security Assurance Technical Director at Six Degrees on

According to AV-TEST, the independent IT security institute, every day sees at least 450,000 new malware variants added to its database. In June this year, for example, cybercriminals are thought to have used malware to steal over 16 billion login credentials across various major platforms in what is thought to have been the largest breach of its kind in history. For security teams, this represents a relentless challenge that demands constant attention and consumes significant resources.

Malware-Free Attacks

As if that wasn’t enough, malware-free attacks are increasingly favoured by cybercriminals as a way to circumvent organisational security. Typically using legitimate programs and tools, these stealth attacks are particularly complex to detect. And they are invisible to most automated security protection options that are available to buy.

With no obvious malware signatures to detect, automated defences are often powerless to respond. And without robust security foundations, even advanced detection tools offer limited protection once an attacker gains a foothold. When that happens, the consequences can be significant.

At the heart of the matter are the limitations of many traditional security tools, which are simply not designed to stop what they cannot see. Malware-free attacks do not rely on external payloads or binaries with known malicious signatures. This renders many automated detection systems, including standard antivirus solutions, effectively useless. As a result, the burden falls elsewhere.

For most organisations, that means having the right expertise in place to recognise unusual behaviour, supported by technologies that can identify behavioural anomalies quickly. Endpoint detection and response (EDR) platforms offer some of these capabilities. But even the most advanced solutions rely on proper configuration and human oversight to be effective. In an ideal world, every business would have round-the-clock monitoring in place, but in reality, very few do.

Challenging Assumptions Around Risk

So, how can organisations fill the gap? When assessing how to protect against malware-free attacks, many organisations begin with the assumption that they will need to buy new tools or licenses. This can form part of a rounded solution. However, leading with this mindset often overlooks a more fundamental and cost-effective question: What can be improved with the tools already in place?

Reviewing existing capabilities should be the first step. For example, most environments already have some level of EDR, behavioural monitoring or identity protection deployed. Yet these are often underutilised or misconfigured. This can result from a lack of understanding around tool capabilities (and limitations), paying for the wrong level of license coverage, and failing to ensure configurations support behavioural analysis rather than just malware scanning. In many cases, even minor adjustments can significantly increase effectiveness without any additional spend.

Cost vs Risk

Organisations should also reconsider how they approach the question of investment. The cost vs risk conversation needs to shift from what they should buy to what they should fix. Even the most expensive detection tools can be rendered ineffective if attackers can exploit basic oversights such as poor configuration, excessive access rights or the absence of multi-factor authentication. In contrast, identifying and addressing these gaps in existing systems is not only more cost-effective but also more impactful in stopping attacks before they gain momentum.

This kind of review process is also an opportunity to identify gaps and prioritise actions that reduce risk without escalating costs. For example, many organisations find that network segmentation, strict privilege controls and enforcing least-access policies can help prevent lateral movement and minimise credential misuse – two of the most common techniques used in malware-free attacks. Putting these capabilities in place are security fundamentals that often determine whether an attack is stopped early or is able to spread.

In this context, a best practice approach matters more than ever. Not as a one-off initiative, but as a continuous effort to close the windows of opportunity that attackers rely on. This includes reducing privilege levels, adopting MFA by default, limiting binary access and educating users on social engineering techniques. All of which are good examples of cost-effective steps that can limit the opportunity for malware-free attacks to take hold. These are not headline-grabbing technologies, but they remain the strongest defence against attacks that thrive on poor hygiene and overlooked gaps.

So, rather than investing in yet another layer of detection, organisations should focus on strengthening what they already have. This approach not only helps avoid unnecessary expense but also delivers a stronger, more sustainable defence posture in an environment where threat actors continue to be extremely effective.

  • Cybersecurity
  • Cybersecurity in FinTech
  • Infrastructure & Cloud

The Financial Transformation Summit (FTS), presented by MoneyNext, took place June 18-19 2025 at London’s ExCeL Centre, Royal Victoria Dock. With over 2,000 attendees, 300+ speakers, and 400 roundtables, it stood out as one of the most immersive and interactive events in the financial services calendar.

FinTech Strategy hit the conference floor at the heart of the action delivering insights from experts across Banking, Insurance, Wealth, and Lending at Financial Transformation Summit (FTS).

Financial Transformation Summit attendees from banking, insurance, wealth, lending, fintech, consultancy, and regulatory sectors convened for two days packed with keynotes, panel talks, immersive demos, and networking among 60+ exhibitors and startups.

Co-located streams – Banking, Insurance, Wealth, and Lending part of themed zones – meant that ticket-holders could explore adjacent sectors fluidly across a guiding theme: culture, collaboration, and customer centricity driving tech adoption and transformation.

Programme Highlights

Keynotes & Panels

1. Data Silos & Cross‑Institutional Collaboration

A panel featuring senior leaders from EVLO, Aon, Schroders, and Brit Insurance tackled how institutions – despite collectively spending over $33 billion annually on data – still struggle to collaborate due to privacy concerns and regulation. Innovative solutions included federated learning, anonymised client IDs and consent-backed APIs.

2. Digital Insurance via Wallets

Anna Bojic (Miss Moneypenny Technologies) unveiled a fresh take on insurance – embedding policy and claim data into Apple/Google Wallets. The idea: dynamic customer interaction directly from smartphone wallets, enhancing real‑time engagement and retention.

3. ESG Economics & Market Reality

Marc Kahn (Investec) challenged ESG orthodoxy, urging firms to emphasise human and planetary wellbeing – beyond purely financial returns – to capture stakeholder trust and sustainable growth.

4. People & Psychological Safety

Kirsty Watson (Aberdeen Group) and Vikki Allgood (Fidelity International) underlined that technological investments are futile without organisational design and psychological safety. Allgood cited a McKinsey study revealing only 26% of leaders build teams with a sense of safety – a critical step toward innovation.

5. Human‑Centred AI

Monica Kalia (Planda AI) championed AI that models individual financial contexts – recognising diversity within demographic cohorts and personalizing services accordingly.


Roundtable Experiences at FTS

At the event’s heart were the TableTalk roundtables – 400+ small-group sessions, each led by a subject-matter expert. These were limited to six participants each, enabling deep, peer-led discussions on themes like:

  • AI in risk and compliance
  • Open banking integration
  • ESG data standards
  • Cyber resilience
  • Change management and culture adaptation

Attendees consistently praised their interactive nature – far removed from the stage‑focused “listening” format often critiqued at other conferences.


Demonstrations & Exhibitor Showcase

Over 60 exhibitors presented tech-driven innovations: Generative AI, open‑banking APIs, ESG reporting tools, embedded finance solutions, and more. A few standouts were:

  • CRIF highlighted AI-powered credit scoring with ESG overlays – promising dynamic risk assessments backed by sustainability data
  • Emerging FinTechs demoing AI compliance engines, digital wallet insurance packaging, and data-sharing platforms
  • Hyland demonstrated the intuitive end-user experience of its Hyland Content Innovation Cloud™ and showed how easy it is to configure, tailor and deploy solutions that can empower key stakeholders across any business

The demo zone allowed engaging, hands-on exploration and real-time Q&As; it complemented the content with practical insights.

Standout Themes & Strategic Insights

1. Tech is Not Enough Without Culture

Recurrent messaging emphasised that culture, trust, governance, and psychological safety are foundational – not secondary – to digital initiatives. Technology alone won’t deliver transformation without a people-first mindset.

2. Cross‑Sector Data Collaboration

Despite heavy investment, institutions still operate in silos. Shared, secure infrastructure and regulatory-aligned frameworks are being prototyped, but broad adoption remains a work in progress.

3. AI-as-a-Personalisation Backbone

AI is shifting from automation to empathy. Organisations showcased tools to hyper-personalise offers yet maintain privacy and inclusion – moving beyond outdated demographic frameworks into genuine behavioural understanding.

4. Embedded Finance & Digital Wallets

Insurance via wallet applications and embedded finance models point to seamless customer journeys – less app hopping, more value delivered at the point of need.

5. Rebalancing ESG & Profit Metrics

Speakers emphasised integrating ESG factors into performance metrics – not just for compliance, but as an operative advantage anchored in long-term stability and stakeholder trust.


Who Should Attend FTS Next Year?

Ideal for:

  • Transformation and change leaders
  • CTOs, CIOs, and Heads of Innovation
  • Data and AI strategists
  • Operational and HR leaders focused on culture
  • FinTech innovators and solution providers

If you’re crafting digital transformation strategies, an attuned leader in financial services, or a consultant embedding tech in legacy environments, this summit provides rich, actionable content.

Expect next year’s event to build on this foundation:

  • More AI-specific tracks, possibly Generative AI streams
  • ESG deep-dives with case studies on implementation
  • Expanded regulator involvement around data governance and cross-border compliance

FTS: Final Verdict

Overall, the FTS 2025 delivered on its brand promise:

  • Interactive and inclusive: 400 roundtables empowered voices across levels.
  • Cross‑sector learning: Banking, Insurance, Wealth, and Lending streams offered both breadth and depth.
  • Insightful keynotes: Big ideas on AI, ESG, data-sharing, and culture were well-explored.
  • Real-world relevance: Exhibitor demos connected theory with practice.
  • Networking with purpose: Opportunities to engage, learn, and collaborate were abundant.

The Financial Transformation Summit struck a compelling balance between big-picture vision and granular, execution-level insight. It emphasised that while technology enables; culture, customer centricity and collaboration drive real progress. The format – with its roundtables, demos, and keynotes – offered a dynamic platform for knowledge exchange.

If you attended, chances are you left with practical next steps. If you didn’t, you missed one of the most interactive, future-focused events shaping financial services transformation today.

  • Artificial Intelligence in FinTech
  • Digital Payments
  • Embedded Finance
  • Events
  • Host Perspectives
  • InsurTech

FinTech Strategy meets Eastern Horizon Founder & CEO Christine Le to discuss client expectations and the changing landscape of wealth management

Financial Transformation Summit 2025 EXCLUSIVE

At Financial Transformation Summit, Christine Le, a Chartered Financial Planner and Founder & CEO of Eastern Horizon Wealth Management, spoke on an investment panel – “Generational Wealth Transfer: Meeting the Expectation of Younger Clients”. Appearing with industry colleagued representing Citi Global Wealth, HFMC Wealth and Lightbox Wealth, Le considered: What trends and technologies are shaping NextGen investment decisions, and how can WMs stay ahead? Can digital wealth platforms meet the demand for hyper-personalised, user-friendly experiences? How does social responsibility & ESG investing influence younger investors, and how can advisors align with these priorities? How can wealth managers build and maintain trust with NextGen investors?

Following the panel, we spoke with Christine to find out more…

Hi Christine, tell us about your role at Eastern Horizon?

“I’m a Chartered Financial Planner and the Founder & CEO of Eastern Horizon Wealth Management. We are a financial advisory firm and also a partner practice of St. James’s Place. They are among the biggest wealth management firms in the UK based on assets under management. We get a lot of support from St. James’s Place in terms of technology compliance and investment solutions. At my practice, we focus on a diverse range of clients including ethnic minorities, especially British Asians in the UK. I’m also the president of the Vietnam Investment and Finance Association in the United Kingdom (VIFA). We aim to provide useful financial information for Vietnamese people in the UK and become a bridge between Vietnam and the UK.”

You were part of a panel at this Summit focused on Generational Wealth Transfer. Can you give us an overview of your thoughts?

‘’Having worked in the financial services industry for over 15 years, I’ve observed a persistent gap in how the industry serves diverse client segments – particularly ethnic minority communities in the UK. This gap is especially pronounced when it comes to financial education and long-term planning, including wealth transfer across generations. When I speak to members of my own Vietnamese community, I often find that there’s a limited understanding of how to navigate financial systems effectively – from managing investments and pensions to planning for intergenerational wealth. It’s not due to a lack of interest or ambition, but rather a lack of access to culturally relevant and accessible financial advice.

“This is where I believe I can make a meaningful difference. I not only bring professional expertise and technical knowledge to the table, but also a deep understanding of the cultural values, family dynamics, and communication styles that shape financial decision-making in the community. That cultural insight is key to building trust, something that is essential when discussing personal finances and planning for the future. My goal is to help bridge that gap – to empower families with the knowledge and tools they need to make informed financial decisions, preserve their wealth, and pass it on confidently to the next generation.’’

Why is this an exciting time for the business?

“At the moment the world is so integrated, and many people can benefit. A lot of people want to go to the UK, invest into the UK. I think with that in mind this is an exciting time to run my business and to be able to bridge that gap, providing sufficient knowledge for people as a trusted source when they come to the UK and need to understand the financial regulations. We can give people solid support to understand the financial processes of settling and building wealth in the UK.”

“Right now, everyone is talking about AI, and for good reason. In my business, we rely heavily on digital tools to streamline administrative tasks. It’s truly a game-changer. Compared to starting a business 15 years ago, when I would have needed a full-time assistant just to take meeting notes and summarise action points, many of those processes can now be automated, saving both time and cost. Another advantage is in how we communicate. Many of my clients are British Vietnamese. While they understand and speak English, they often feel more comfortable communicating in Vietnamese. We use AI-powered translation tools to make this process faster and more seamless. These technologies are allowing us to broaden the range of services we offer and tailor our support to each client’s needs.”

What pain points are your clients experiencing that you need to address?  How are you meeting the challenge?

“It’s about meeting the client’s highest priority. When people come to me, they maybe want to support their children to get onto the property ladder or plan for their retirement. They might be looking to buy a new car or move home. So, as a regulated financial advisor, I can sit with a client and talk them through key priorities and tailor the solutions best for them and help them overcome the pain points of decision-making.

“Additionally, the UK’s financial regulations are complex and changing all the time. It’s very difficult for people to follow. It’s my job as a financial advisor to follow up those changes and stay up to date with the regulations to assess how it can impact our clients and then give them the best recommendations. Allied to this, many of our clients will need support with cross-border services as they move freely between different countries they need somebody they can trust, an expert that knows what they’re doing and who can provide the right financial services for them.”

Tell us about a recent success story…

“Success for Eastern Horizon is to know that our clients feel they have somebody to rely on. For example, I have an old friend who came to me as a client. She was based in Vietnam but wanted to relocate to the UK. She had assets across Europe and in Vietnam and needed to understand the big picture of financial planning in the UK. We examined her assets across different countries to bring them into the UK and find the best solution for her to utilise tax efficient savings, pensions and investments to support her family and her business in the long term.”

What’s next for Eastern Horizon when it comes to wealth management? What future launches and initiatives are you particularly excited about?

“Over the next few months, we are keen to collaborate with different associations and communities across the UK – whether that’s related to Vietnam or British Asian communities and offer useful information and workshops and webinars tailored to different audiences. Also, with my work for the Vietnam Investment and Finance Association I want to organise workshops for those keen to invest in the UK but don’t know where to start. They often don’t have anyone to support them so I would like to focus on building a network to offer that bridge to investment in the UK.”

Why do you think the evolution of collaboration between traditional institutions and FinTechs is set to continue? What are you excited about?

“I spent five years working at the intersection of FinTech and WealthTech – where wealth management meets technology. During that time, I witnessed firsthand how the financial services landscape is evolving. Large incumbent banks bring undeniable strengths: scale, regulatory rigour, and long-standing client trust. However, they often struggle with agility. Their legacy infrastructures, many of which still aren’t cloud-based, make digital transformation slow and complex. On the other hand, FinTechs are born digital. They’re nimble, innovative, and quick to adapt to changing customer needs. But without the reputation and stability that traditional institutions have built over decades, they can face challenges in gaining consumer trust or navigating regulatory environments alone. What became clear to me is that banks and FinTechs cannot operate in silos.

“Collaboration is not just beneficial, it’s essential. When they work together, they combine the best of both worlds: the reliability and compliance of traditional finance with the innovation and customer-centric design of new technology. With my own practice, we apply this mindset. We actively look for ways to streamline administrative processes using digital tools – reducing costs, improving efficiency, and freeing up more time to focus on what matters most: building strong, human relationships with our clients. The goal is to use technology not to replace that human connection, but to enhance it. By doing so, we can deliver modern, efficient, and deeply personalised financial services that clients trust.”

Why Financial Transformation Summit? What is it about this particular event that makes it the perfect place to embrace innovation? What’s the response been like for Eastern Horizon?

“I’ve attended several events this year, and this has truly been one of the most enjoyable and well-organised in the UK. What stood out was the impressive mix of voices – from established financial institutions to bold, forward-thinking startups. Engaging with such a diverse group of speakers has been both insightful and thought-provoking. I’ve come away with fresh perspectives, challenged some of my own assumptions, and found new ideas to explore as we continue building meaningful partnerships for Eastern Horizon Wealth Management.”

Find out more at easternhorizonwealth.co.uk

About Christine Le and Eastern Horizon Wealth Management

As an Appointed Representative of St. James’s Place, Practice Lead, and business owner, Christine leverages over 15 years of experience in financial services and wealth tech to serve our clients, acquired through extensive work in multinational financial services firms in the UK. This rich background has equipped Christine with the skills and knowledge necessary to effectively oversee the business, ensuring that every facet is managed with the highest level of professionalism.

Christine founded and built this Practice to help clients prosper, build financial security, and attain peace of mind while overcoming financial obstacles. 

Her primary focus is on nurturing enduring relationships with her clients, offering them trusted guidance as their financial requirements evolve over time. Throughout her advisory process, clarity remains paramount. By closely collaborating with her clients, Christine strives to identify the most efficient and tax-effective strategies to help them achieve their objectives. Specialising in tailored solutions, Christine is dedicated to understanding her clients’ financial goals and crafting strategies that align with their vision for the future.

  • Artificial Intelligence in FinTech
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FinTech Strategy meets with Citigroup’s Head of ESG Credit Management, Mauricio Masondo, to discover the future for ESG and sustainable finance

Financial Transformation Summit 2025 EXCLUSIVE

At Financial Transformation Summit, Mauricio Masondo, Head of ESG Credit Management at Citigroup, featured on a sustainability panel – ‘The Future of ESG and Sustainable Finance: Balancing Profit and Purpose’. Alongside peers fromGenerali AM, Gallagher Re and Arma Karma, Masondo considered: What key metrics should FIs use to track ESG progress, and how can they ensure authenticity in their sustainability efforts? Developing a holistic ESG strategy amid evolving regulations – key challenges and solutions. How can FIs leverage technology to meet sustainability goals and drive long-term profitability? How can FIs move beyond offering ESG products to embedding sustainability into their core business models?

Following the panel, we spoke with Mauricio to find out more…

Hi Mauricio, tell us about your role at Citigroup?

“In my 32 years with Citi my career has primarily focused on wholesale credit, and in recent years I built out our portfolio management function. For the past year specifically, I’ve been leading the integration of ESG and climate considerations into our credit processes. As Head of ESG Credit Management, my role is to embed ESG requirements into our credit processes in a way that’s consistently and efficiently applied through technology, policies, training, and governance frameworks. Our strategic approach was not to create an ESG silo that replicates existing processes, but rather to integrate ESG considerations seamlessly into our current workflows. This means any credit analyst can now underwrite ESG credits, sustainable loans, or green loans, rather than requiring dedicated specialists. We’ve equipped our entire team with the knowledge and tools they need to handle these transactions effectively.”

You were part of a panel at this Summit focused on the future for ESG and sustainable finance. Can you give us an overview of your thoughts?

“Data standardisation is absolutely critical, especially as we advance into the AI era. I often reference Moody’s as an excellent example of strategic foresight. Moody’s operates two key businesses – credit ratings and data analytics – and early in their AI journey, they made the strategic decision to structure and normalise all their credit research data. This proved to be transformational because it enabled them to deploy AI solutions much more rapidly with clean, structured datasets. We’re working to apply this same principle at Citi. We’re developing processes to structure climate-related data in a way that will be usable across multiple applications. For example, we’re working on integrating emissions data and climate risk assessments into our credit risk rating models. We’re also exploring how this structured approach could support underwriting processes and securitisations, where comprehensive data packages could facilitate risk transfer transactions with institutional investors. The goal is to build normalised, structured data as the foundation for various applications, from portfolio management to AI-driven solutions. While we’re still in the early stages of many of these initiatives, the potential is significant.”

Why is this an exciting time for the business?

“We’re witnessing the convergence of several transformative trends. However, one of our biggest challenges is policy divergence across jurisdictions. Countries are taking vastly different approaches to ESG requirements, and for a global bank like Citi, this creates significant complexity in standardising processes across multiple regulatory environments. While challenging, this divergence also creates opportunities to develop scalable, cost-effective solutions that can adapt to various regulatory frameworks. Second, AI is revolutionising how we approach ESG challenges. It’s helping us structure data more effectively, enhance reporting capabilities, contextualise information, and identify trends that would have been impossible to detect manually.

“Previously, comprehensive ESG analysis required significant time, resources, and personnel. AI has made these processes more accessible and cost-effective. Most importantly, there’s been a fundamental shift in how the industry, and governments, view ESG. It’s evolved beyond compliance and emissions reporting to become a significant business opportunity. We need to capitalise on this transition – moving from reactive reporting to proactive opportunity capture. The capital is there, and if traditional banks don’t seize these opportunities, asset managers, private credit firms, and private equity will. We’re partnering strategically with reinsurance companies and asset managers to develop innovative solutions that unlock transition capital and help companies fund decarbonisation projects.”

“Trade flows are experiencing significant disruption due to current tariff policies. This creates both challenges and opportunities for our clients. Companies are reassessing their supply chain vulnerabilities and seeking greater resilience in their operations. I anticipate we’ll see a regionalisation of trade flows rather than a complete deglobalisation. European companies will likely increase intra-regional trade while reducing intercontinental transactions. We’re seeing similar patterns emerging in Asia and the Middle East. This shift requires banks to be more agile in how we structure trade finance and working capital solutions to meet these evolving needs.”

What pain points are you experiencing that you need to address?  How are you meeting the challenge?

“Working capital finance requires increasingly creative solutions that leverage advanced technology. Banks are recognising that FinTechs often have greater agility in developing and implementing these technologies. There’s significant efficiency in having one FinTech serve multiple banks rather than each institution developing independent solutions. This collaborative approach allows us to move faster while reducing development costs and time-to-market.”

Tell us about a recent success story…

“I designed and led the implementation of an early warning monitoring system for Citi’s credit portfolio. The project began with a fundamental concept: create a data lake, develop meaningful metrics, and engage data scientists to interpret the insights. We collaborated with trade officers and partnered with external specialists to enhance our capabilities.Initially, there was scepticism about the system’s value, particularly because we built it as an independent function within our portfolio management organisation, separate from traditional banking and risk management structures. However, this positioning allowed us to collect unique client data and develop insights that weren’t available elsewhere in the organisation. A critical component of our success was establishing a dedicated credit expert team that oversees the entire process.

“This team leads the engagement and communication of alerts, ensuring that insights are properly interpreted and actionable recommendations reach the right stakeholders. The evolution was remarkable. We progressed from generating a few alerts daily to dozens per day, and eventually to hundreds of alerts weekly. More importantly, we developed sophisticated processes for interpreting and acting on these alerts, with our expert team serving as the bridge between data insights and business action. Bankers and risk managers began to recognise the value, and today, three years later, the system is integral to how we conduct annual reviews and client presentations. It’s incredibly rewarding to provide our bankers with comprehensive data and insights that strengthen their client relationships.”

What’s next for Citigroup when it comes to ESG? What future launches and initiatives are you particularly excited about?

“While it may sound clichéd, AI truly is transformative for our industry. The breadth of use cases and the rapid pace of learning make it essential to our strategic direction. We’ve established a strategic partnership with Google and are investing significantly in AI use case development and implementation across our operations. From an operational perspective, AI will undoubtedly increase our efficiency as an industry. More importantly, it’s enabling us to evolve our business models and create client solutions that weren’t previously feasible. This opens entirely new avenues for innovative product development. Additionally, since CEO Jane Fraser joined, we’ve embarked on a comprehensive transformation program that’s delivering strong results in terms of financial performance and returns. We’ve restructured and simplified our operations, which positions us more competitively as we refresh our leadership teams and attract new talent. The trajectory is very promising.”

Why do you think the evolution of collaboration between banks and FinTechs is set to continue? What are you excited about?

“The current tariff environment is creating opportunities for FinTechs that facilitate connections between banks, investors, and corporations. It’s also presenting consolidation opportunities for private equity firms within the rapidly expanding FinTech ecosystem.”

Why Financial Transformation Summit? What is it about this particular event that makes it the perfect place to embrace innovation? What’s the response been like for Citigroup?

“The panel brought together diverse perspectives from FinTech, asset management, insurance, and banking – all addressing common challenges that span our sectors. This cross-industry dialogue creates tremendous opportunities for collaboration and mutual understanding. The key now is translating these conversations into action. We need to maintain these connections, expand the dialogue, and avoid making decisions in isolation. FinTechs possess the agility to implement changes in their operating models far more quickly than large incumbents like us. However, our procurement systems and processes aren’t always conducive to collaborating with smaller, innovative companies. Events like this highlight the need to streamline how institutions like Citi can collaborate with and learn from FinTechs. We must accelerate our ability to adapt to a rapidly changing world.”

Learn more at citigroup.com/global/our-impact

About Citgroup

A human bank…

We’re helping build more sustainable, economically vibrant communities around the world.

At Citi, helping our clients navigate the challenges and embrace the opportunities of our rapidly changing world is fundamental to our mission of enabling growth and economic progress.

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FinTech Strategy spoke with Veritran’s CMO, Jorge Sanchez Barcelo, at Money20/20 Europe to find out more about the tech firm’s partnership with Manchester City reimagining CX to create a frictionless digital experience for fans

Money20/20 Europe Exclusive

In an era where technology defines the customer journey, Jorge Sanchez Barcelo, Chief Marketing Officer at Veritran, is leading a bold charge into a new frontier: one where financial technology fuses with fandom, and CX becomes both frictionless and deeply personal.

Jorge’s professional journey has always followed the arc of digital transformation. From his earlier roles at AT&T and Banorte to now helming marketing at Veritran, a global technology company, his mission is clear: make life easier, better, and more secure for end users – whether they’re banking customers or football fans.

“Our technology without a purpose is nothing. It’s just code,” Jorge says. “We build for people. And that purpose has taken us far beyond banking.”

From Buenos Aires to Global Ambitions

Founded in Buenos Aires almost 20 years ago, Veritran started building mobile applications before the iPhone even existed – when, as Jorge jokes, “phones were just for calls, texts, and the occasional game of Snake”.

“Our guys were visionaries,” he continues. “They were talking about applications when we didn’t even have smartphones. Back then, you had to build a separate app for every phone model because we didn’t have iOS or Android,” he recalls.

Despite those early technical hurdles, the company maintained a singular focus: democratising access to financial services. “Once a person starts managing their own finances, they gain control,” reasons Jorge. “And control is the first step toward growth.”

That mission has proven timeless, and borderless. Today, Veritran has a solid footprint across Latin America and has expanded into the US and Europe.

Why Experience Matters More Than Ever

Jorge is acutely aware that in financial services, trust is everything. A slick PowerPoint is not enough to win over banks.

“When I meet with a financial institution, they don’t want theory. They want proof. They want to see our tech working in the real world. But many banks are reluctant to share their strategies, even with non-competitors.”

This desire to demonstrate capability led Veritran to seek a bold new marketing approach – one that would provide a visible, secure, and non-competitive environment to showcase its tech.

Enter Manchester City: A Blueprint for CX Innovation

The solution arrived via the pitch, not the boardroom. Veritran entered into a partnership with Manchester City, one of the best football teams in the world.

“Manchester City is digitally five to seven years ahead of most clubs,” says Jorge.

Veritran’s technology now supports key digital operations at Manchester City, helping the Club streamline processes such as user registration, membership management, and ticketing. This collaboration reflects a shared commitment to innovation and operational excellence.

What began as a strategic partnership has evolved into a strong example of how financial technology can reinforce digital infrastructure in the sports sector. As more organisations seek reliable and scalable solutions, the model developed with Manchester City demonstrates the value of secure, efficient platforms designed to support long-term digital growth.

Breaking the Sponsorship Mold

Unlike traditional sports sponsorships, which often come with hefty price tags and limited strategic collaboration, Veritran’s deal with City was rooted in partnership.

“Our partnership is beneficial for both companies, we share value,” explains Jorge.  “With the brand reach of Manchester City’s clubs we have been able to promote our company worldwide.”

This model has opened the door to future collaborations, not only with sports clubs, but also with entertainment companies in the US who are eyeing similar digital transformations.

Applying FinTech Learnings in New Territories

As Veritran enters new markets, they carry the lessons of regulated finance into less restricted sectors.

“In banking, every innovation has to pass through layers of regulation,” notes Jorge. “But in entertainment or sports, you can think outside the box and start with the experience, not the compliance checklist.”

That freedom has allowed Veritran to experiment with new ideas, such as smile-based stadium access or face-based payments.

“We call it ‘mouthful access’ – just smile, and you’re in. You can’t do that in banking… yet.”

Blending Brand and Utility: A New Era for Embedded Finance

What sets Veritran apart isn’t just its technology stack – it’s the way it applies that stack to create emotional resonance and operational value in new settings. For Jorge and his team, the convergence of financial services and lifestyle touchpoints is the most exciting, and underexplored, frontier.

“When we embed finance into a stadium or a music festival, we’re not just processing payments,” he explains. “We’re creating seamless, branded experiences that extend customer relationships beyond the bank branch or app.”

This philosophy echoes a wider FinTech trend: the shift from siloed services to contextual, embedded finance – delivered where customers already are, not where institutions want them to be.

As financial brands seek new ways to engage digitally-native consumers, Jorge believes partnerships with lifestyle, sports, and entertainment brands offer huge untapped potential.

Jorge notes that younger generations expect everything to be digital, instant, and intuitive. They don’t separate banking from shopping or attending an event, it’s all part of one journey. “If we can integrate services invisibly into those moments, that’s where the magic happens.”

He’s quick to add that the financial industry still has work to do in aligning with this shift – both culturally and technologically.

“It’s not just about APIs or infrastructure. It’s about mindset. The organisations that embrace this new way of thinking – who see CX as a shared responsibility across ecosystems – will lead the next decade.”

With Veritran’s cross-industry collaborations accelerating, Jorge is confident they’re not just shaping financial journeys – they’re reshaping everyday experiences.

Embedding Finance in the Fan Journey

Jorge sees a massive opportunity to embed financial services into sports and entertainment ecosystems, particularly in underbanked regions like Latin America.

“In the UK, stadiums are already cashless. In Latin America, we still have guys walking around selling Coca-Cola for cash from their pockets. We want to change that.”

By introducing digital wallets, biometric payments, and embedded insurance services (e.g., ticket protection at the point of sale), Veritran enables clubs to become financial service providers.

“Imagine buying a match ticket and adding travel insurance in one click. That’s the level of seamless we’re aiming for.”

Pain Points Driving Demand

So what are clients asking for?

Jorge says it comes down to three priorities:

  1. Integrated Payments Ecosystems
    Clients want unified platforms that support seamless payments across channels and partners
  2. Digital Onboarding & Identity
    Reducing friction while enhancing security is top of mind – especially in customer acquisition
  3. End-to-End Security Suites
    With AI-driven fraud and evolving regulations, security isn’t optional; it’s a strategic asset

Veritran’s flexibility as a tech partner, not just a vendor, allows it to co-create with clients. This often means integrating with their existing partners, such as banks, card networks, or insurers.

What’s Next for Veritran?

According to Jorge, the company is at a pivotal moment. Its technology is gaining traction in new verticals with strong investment appetite – such as entertainment and live events.

“These sectors have the budget and the ambition. No one’s serving them with the kind of Fintech-grade CX we provide.”

The company is also exploring opportunities in public transportation and other infrastructure-heavy sectors where transactions are frequent and still inefficient.

“Everywhere there’s a transaction, there’s an opportunity to simplify.”

FinTech is set to play an expanding role in everyday life whereJorge believes the very definition of FinTech is evolving.

“It’s not just about banks anymore. If you buy a coffee, book a train, or enter a concert – those are all transactions. And if we can simplify them, that’s FinTech too.”

That’s why Veritran sees future growth in collaborative ecosystems where banks, brands, and non-traditional players converge to serve the customer journey holistically.

Why Money20/20?

Jorge credits the annual Money20/20 Europe conference with helping shape Veritran’s partnerships – including the initial connection with Manchester City.

“It’s one of our top five global trade shows. We don’t just send a team – we send our top execs, including our CEO. It’s where deals happen.”

Building with Purpose for the Future

In an industry flooded with features and hype Veritran differentiates by staying grounded in user value.

“Tech for tech’s sake is meaningless. But tech that improves how someone lives, spends, or connects – that’s everything,” says Jorge.

From its Argentine roots to a global stage, Veritran’s journey underscores one enduring truth: In customer experience, the future belongs to those who build it with purpose.

Veritran: A CX FinTech Trailblazer

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FinTech Strategy meets with Seema Desai, COO at iwoca, to hear how customer experience is being redefined in a digital lending era

Financial Transformation Summit 2025 EXCLUSIVE

At the Financial Transformation Summit, Seema Desai, COO at iwoca, spoke on a panel (alongside representatives from Zopa Bank and Citibank) about the shifting needs for customer experience in digital lending. How can lenders create hyper-personalised loan products to meet diverse customer needs? What are the best practices for maintaining a human touch in automated lending processes? How can lenders build and maintain customer loyalty in a competitive market? What role does omnichannel strategy play in delivering a seamless lending experience?

Following the panel, we spoke with Seema to find out more…

Hi Seema, tell us about your role at iwoca?

“I am the Chief Operating Officer at iwoca. We provide fast and flexible finance to small businesses across the UK and Germany. In my role as COO, I’m responsible for all of our UK operations teams. So, all of our agents that engage with customers throughout the customer journey. And I make sure that we’re offering a really high quality service that is also highly efficient.”

You were part of a panel at this Summit focused on redefining CX in the era of digital lending. Can you give us an overview of your thoughts?

“So, maintaining that personal touch is really important because that personal touch helps us to build trust with our customers. We all know that when dealing with money, that trust element is super important. There’s lots of things that iwoca does to maintain that. For example, every customer has a dedicated account manager. They can get through to them via a direct number. We also respond to emails fast, every email on the same day. And then we commit to answering at least 80% of calls in less than 60 seconds. We’ve got 10,000 new applications every month and about 30,000 customers making repayments currently. We’re doing all of this with an account management team of just 30 people. So, to maintain that level of personal touch whilst also being able to deal with that volume of customers, we absolutely have to leverage digital technology to be able to do that really efficiently. And there’s many ways that we do that…

“First of all, we make sure that our account pages and our signup flow is as clear and seamless as possible so that customers can self-serve if they want to. But we also make sure that with our operations activities, we’ve broken down every step of every operational process into a task that is visible on our in-house built CRM system. And then what we can do is run tests on every single step of those to see where having human interaction really adds the most value. So, we are constantly upgrading where we apply human interaction in a really forensic way to make sure that it’s optimised as much as possible.”

Why is this an exciting time for the business?

“It’s really exciting right now. We’ve been having some record months recently and broken some big milestones. We are now approving around 10,000 new business loans every month, which is huge. Our loan book across the UK is almost £1 billion. And then a bit closer to home, we’ve also just moved offices. We’ve got more space and we’re still able to attract exceptional talent into iwoca and it’s great to have a new home in central London to do that.”

“Embedded finance is a big trend right now. It’s important for us to make sure that customers can access lending when and where they need it. We’re integrating lots of partners through our open API – around a third of our applications come through partner channels. So, that’s a very important trend and growing for us in the future. We’re also seeing a lot of hyper-personalisation. We know that customers want to be able to tailor loan products exactly to their needs, and we want our products to be able to provide that flexibility to them. We’re looking at increasing loan amounts, changing durations and offering different types of repayment schedules with interest only options. And that’s hugely exciting. And one of the big trends that I’ve heard about here at FTS, and which we are working on at iwoca, is how we leverage AI and what we might be able to do with AI to make us even more efficient, but still maintain an excellent customer service.”

What pain points are your customers experiencing that you need to address? What are they asking you for help with? How are you meeting the challenge?

“So, it’s important to remember that iwoca exists in order to solve pain points for customers because customers were just relying on traditional lenders. Those traditional lenders, the big banks, have much longer application processes, typically taking weeks and sometimes just aren’t able to lend to those customers at all because it’s not within their risk appetite. Whereas at iwoca you can get a loan within minutes. We can also lend to customers that banks couldn’t lend to because we’re able to use data and data science to be able to understand the risk level and different customers much better.”

Tell us about a recent success story…

“We are operational in the UK and Germany, and a success story for us is the fact that we are now working with a loan book of almost a £1 billion and we are profitable. And we have been for quite a while now, since early 2023. So, it’s a real success story for us that we’re able to use that profitability to fund our core business growth but also use it to invest in solving other pain points for customers beyond lending.”

What’s next for iwoca? What future launches and initiatives are you particularly excited about?

Yeah, there’s a lot of things that we’re working on right now. I’m excited about some of the AI tools that we are trialling to make our service even more efficient. There’s a number of exciting applications out there, so there’s a lot of people at iwoca exploring and exploiting different AI technologies. It’s going to be very exciting to see how that rolls out across our business in the rest of this year. And then also looking at new ventures that are beyond lending, which we may be launching later this year or early next.”

Why do you think the evolution of collaboration between banks and FinTechs is set to continue? What are you excited about?

“Collaboration is hugely important to us and our business model. Traditional banks are able to access capital more cheaply than we can, but they’re able to provide us with access to their balance sheet so that they provide financing to us so that we can then lend to our customers. So, with their financing, we are able to use our data and our technology to reach customers that they wouldn’t be able to reach directly. At the moment, something like 80% of our funding comes from banks such as Barclays and Citi. So, they’re hugely important to us and we are continuously reviewing with them the performance of our own book and finding ways that we’d be able to lend to more of our customers.”

Why Financial Transformation Summit? What is it about this particular event that makes it the perfect place to embrace innovation? What’s the response been like for iwoca?

“This is my first time at this event, and I’ve been really impressed. It’s been really well organised and the panels have been insightful with some great speakers. I’ve learned quite a lot. I’ve met some really interesting people and I’m really impressed by the diversity of people that are coming here. So, I was just on a panel with somebody from Zopa, which is where I used to work. I also met somebody in the audience who came from Lloyd’s, which is where I worked about 15 years ago. So, it’s great to see that this ecosystem being brought together at FTS.”

Learn more at iwoca.co.uk

About iwoca

Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities – making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We’ve already made several billion pounds in funding available to over 100,000 businesses since we launched in 2012 and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We’ll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science and a 5-star customer service.

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FinTech Strategy speaks with Jonas von Oldenskiöld, Head of Partnerships at Qover, about the future for the insurance industry

Financial Transformation Summit 2025 EXCLUSIVE

At Financial Transformation Summit, Jonas von Oldenskiöld, Head of Partnerships at Qover, spoke on a panel (alongside peers from Davies Group, Accenture, Superscript and YuLife) entitled ‘Bridging the Gap: How InsurTech is Reinventing Traditional Insurance Processes’.

Following the panel, we spoke to Jonas to find out more…

Hi Jonas, tell us about your role at Qover?

“I’m the Head of Partnerships at Qover. We are focused on embedded insurance. We try to enable that for a lot of different players in the markets. Everything from motor insurance, SMEs, going the whole way down to simple things like classes[1]  such as travel, trying to be the enabler between the typical risk carrier and the distribution platform.”

You spoke on a panel at the Summit about InsurTech innovation. Give us an overview of your thoughts…

“It was a very interesting group of people on the panel coming from different angles across the industry. And the key things for me were around where InsurTech needs to go now and how it enables insurance companies at this point in time. The common understanding was that we, the InsurTechs, come from being disruptors to being more of a force into them where we can plug in and help them to change a little bit the behaviours that are currently going on. Being that catalyst in the organisation and helping them to drive innovation. Because I think a lot of large organisations have realized that innovation cannot be driven by a single hidden team somewhere, it needs to be driven from a business perspective.”

Why is this an exciting time for Qover?

I think there are many reasons. Of course, you cannot be at an event like this without speaking about AI and the opportunity that gives to us. Also, we’re seeing a generational shift. The industry needs to get ready to service a completely different type of customers going forward and that will drive a lot of exchanges we’ll see in the next couple years.”

“I think a key one is to be able to navigate the future role of AI regulation. That will be very interesting to see what opportunities are there and what opportunities would be possible to use. More importantly, I think it is taking data from something, using data from something that is good to have, to really put it in the forefront of the operation to start planning your business process from a data perspective. This is the data that we need to have in order to deliver a good product rather than having data as the outcome of the whole process. You have set up and try to do something from that perspective. So, we need to turn the table on that.”

What other pain points your customers are experiencing that you need to address? What are they asking you for help with? How are you meeting the challenge?

“They particularly need help with the UX and how to deliver the product. I think the underlying product itself doesn’t change so much, but it’s a lot about the delivery, making sure that it actually does get delivered at the point in time that we like to call events driven. So, for us it is distributing insurance when you have a life event, if that is having a child, buying a car, buying a house or whatever it might be, data can help us to drive that. So, for us it’s very much around the delivery rather than the product underneath.”

Tell us about a recent success story…

“We’re very proud that we now have several new motor programmes in place where we have been working with large motor organisations that have realized that they’re not only selling a car, they’re selling a means of transportation and convenience, which also then includes insurance across that whole journey. We recently announced partnerships with both Volvo and BMW. And we have more in the pipeline. So, I think that has been a great success where large established industries have realised they need to go further in order to have that UX design.”

What’s next for Qover? What future launches and initiatives are you particularly excited about?

“In 2025, our focus is on expanding into more new verticals. We are involved in driving that engagement to see where we can expand. We started traditionally with a lot of the travel organisation and bike providers. We’re now working with neobanks[2] , traditional banks and the motor industry. I also see more opportunities in areas like utilities, in SME supporting functions, everything from accountancy to data provision and being a software provider. These expansions will be the goal over the next 24 months.”

Why do you think the evolution of collaboration between industries and InsurTechs is set to continue? What are you excited about?

Partnerships is one of the key things changing the insurance industry. We still have some very large players around. They’re fulfilling their function, and they do it very well. But in order for them to adapt into the new situation, partnerships are important. You always need to be able to work at scale, which is important for them. Of course, with a partnership you lose a little bit of control compared to acquiring something or developing it yourself. But on the other hand you win on the speed to market and potentially also on the cost side. So, for me, the winners will be the ones that can handle partnerships in the right way. And at the end of the day, a partnership is a relationship. You can have as many contracts as you want, but it comes down to people.”

Why Financial Transformation Summit? What is it about this particular event that makes it the perfect place to embrace innovation? What’s the response been like for Qover?

“We get a lot of good feedback and the great thing with events like this is that you have the chance to do networking both informal and formal. You’re having a formal agenda but also have a chance to rotate around. I always make sure to join the sessions and round tables. It has been interesting to speak to peers across the industry. It’s a good way of getting away from the desk and finding some new inspiration.”

Learn more at qover.com

About Qover

Embedded insurance orchestrators… We’re creating a global safety net with insurance,

empowering people to live life to the fullest.

Qover was founded in 2016 by Quentin Colmant and Jean-Charles Velge. From the very beginning, our co-founders had a clear vision of the future of insurance: a simple, transparent and accessible service across borders.

Through embedded insurance, we can create a global safety net that protects everyone, everywhere. To that end, our embedded insurance orchestration platform enables any company to harness the power of technology to embed insurance as a native component of or add-on to their core product or service.

In doing so, embedded insurance becomes a powerful tool for businesses to enrich their value proposition, enable their success and care for their community.

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FinTech Strategy meets Vikki Allgood, Director of Technology Strategy at Fidelity, to discuss the fundamental importance of culture in driving a successful business transformation

Financial Transformation Summit 2025 EXCLUSIVE

At Financial Transformation Summit, Vikki Allgood, Director of Technology Strategy at Fidelity International, gave a keynote speech entitled ‘Psychological Safety – The Hidden Key to Transforming Your Business’. Following her appearance, we spoke to Vikki to learn more…

Hi Vikki, tell us about your role at Fidelity?

“I am Director of Technology Strategy for Fidelity. We’re looking at how we can ensure we can adapt our response to our business’ needs through our technology to meet whatever demand is coming over the horizons tomorrow. And in the years to come.”

You spoke at this Summit about psychological safety driving business transformation. Tell us more…

“At Fidelity, our strategy for our technology has culture as our foundational pillar. Talking with our leaders over the last 18 months, we looked to understand how we can create a brilliant culture, recognising that psychological safety is a fundamental element in that.

“Transformations often stumble because the business plan forgets its most volatile, and most valuable component, the people asked to deliver it. Without psychological safety, even well‑funded and organised programmes stall. Teams focus more on protecting themselves instead of challenging ideas. That’s when the risks remain hidden until it’s costly, and the collective new ideas to solve the biggest challenges are never formed. That’s why we ask leaders to invest time and energy in building a culture where it’s safe to question, experiment, challenge the status quo and admit what’s not working. In that environment the behaviours every transformation depends on (curiosity, creativity, problem‑solving, healthy challenge) all naturally emerge.

Psychological safety isn’t some new trendy HR slogan, it’s a timeless basic human need wired into our biology through millennia of evolution. When people sense social threat, the amygdala floods the body with cortisol and the prefrontal cortex (the part of our brain we rely on for reasoning, innovation, etc.) literally dims. Remove the threat, and the brain’s chemistry flips, dopamine and oxytocin rise, and teams move from cautious compliance to bold collaboration. Leaders must ask themselves if their teams can lean in and challenge effectively or if they are staying quiet to protect themselves. The hidden key is simple, but non‑negotiable, leaders must consciously, relentlessly and courageously build psychological safety through everything they do and say. If they do that, then your technology and transformation plans will have the human engine they need to succeed.”

Why is this an exciting time for Fidelity?

“I think that within the industry, all the opportunities that are coming along, and our ability to adapt to our customers’ needs, is what makes it exciting. We are all on an exponential curve of change. Technical possibilities, customer expectations, regulatory demand, industry landscapes, are all going to keep moving, with new challenges and opportunities presenting themselves. We are ensuring that we can meet those needs of our customers both today and tomorrow. Finding new ways to do that is pretty exciting.”

“So, from a technology perspective, I would say that we are making sure that all our foundational elements are there so that we can respond and adapt. One of Fidelity’s differentiators is that we have historic long running relationships with our customers. We are reintegrating our data strategy to allow us to better leverage this, in addition to market data, allowing us to provide personalised solutions to our customers.

“AI is absolutely generating a buzz for us right now as well, and not just Generative AI. We’re seeing a push towards Agentic AI and how we can look to provide faster, quicker, more cost-effective services for our business partners who can then provide better outcomes for our customers. This in combination with our long-standing history gives us a unique opportunity.”

What pain points are your customers experiencing that you need to address? What are they asking you for help with? How are you meeting the challenge?

“We need to understand the new generations entering the wealth space and what their expectations are and how they engage with us. We’re looking to ensure we can keep pace with their demands. For example, we’ve just launched Pay by Bank allowing our customers to pay money into their accounts in a faster more secure way. This feature leverages the Open Banking Technology that is now available to financial institutions.”

Tell us about a recent success story for Fidelity…

“Across the technology landscape, we have been amplifying our existing cloud strategy by removing complexity in our hybrid setup, reducing the number of dependencies back to on-premises. This is a well-known challenge for financial institutions who have regulatory reasons to have highly confidential systems in house. This will allow us to respond at pace to what customers need. Looking a couple of years down the line nobody can be sure what the next big opportunities are going to be, so ensuring we’re building that foundation to respond to what comes over the horizon is fundamental.”

What’s next for Fidelity? What future launches and initiatives are you particularly excited about?

“Security is incredibly important to us. With that in mind, we are exploring Quantum to understand both the opportunities and risks that it could present in the future and how we can stay at the forefront of it. Ensuring a secure and reliable service for our customers is an absolute non-negotiable part of our strategy.”

Why do you think the evolution of collaboration between banks and FinTechs is set to continue? What are you excited about?

“I think the reality is that we need the collective mindsets to come together to create the best outcomes. We’re never going to have all the answers all by ourselves. So, starting to engage and work with people and collaborate means that we get to have a better, wider perspective. Coming to events like this, we get to learn, understand what other industries are doing, what other areas are looking at, and it helps to widen our perspectives and have more opportunities to find those out of the box ideas that are going to then help our customers.”

Why Financial Transformation Summit? What is it about this particular event that makes it the perfect place to embrace innovation? What’s the response been like for Fidelity?

“I was particularly keen to attend this conference because I think transformation and how we can do this successfully is so important at the moment. The reality is, sadly, and I covered this in my talk, a staggeringly large number of transformations miss the mark or fall short. And so, learning and embracing how you can ensure that you go after it and you get the value that you’re aiming for, that is for me what’s important. As I said, getting that learning, talking to each other, understanding what’s worked, what hasn’t worked and sharing tips and techniques is actually incredibly powerful and something you can then take back and use at your organisation.”

Learn more at fidelity.co.uk

About Fidelity

It has been more than 50 years since we were founded. We’ve seen many market cycles – bull and bear, boom and bust. We have stayed the course through different investment environments regardless of market performance.

The needs of our customers have always steered our decisions, which is why we’ve stuck to our core activity of investing. We believe this is what allows us to excel – and, even more importantly, to repay the trust placed in us by our customers.

Whether you’re investing for the first time, or have a wealth of experience, it’s essential to be informed and to be comfortable with your decisions. Through Trustpilot, you can read up-to-the-minute, real-world reviews and see for yourself how Fidelity aims to put the customer first and make investing a bit easier.

Our do-it-yourself online services give you 24/7 access to our investment guidance, handy tools, and range of accounts from your computer, tablet or phone. Transfer your existing investments to us, or open a new account online and begin investing in just a few steps.

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FinTech Strategy met with Standard Chartered’s Head of Digital Assets – Financing & Securities Services, Waqar Chaudry, at Money20/20 Europe to discuss how the bank is connecting traditional with digital, collaborating with FinTechs directly and via SC Ventures, and taking a measured approach to entering the crypto market

Money20/20 Europe Exclusive

There is a buzz in the air at Money20/20 Europe. Waqar Chaudry, Head of Digital Assets – Financing & Securities Services at Standard Chartered, has just spoken on Mastercard’s Horizon Stage about the great digital assets opportunity. We meet up with him at his bank’s stand in the heart of the action at the Amsterdam RAI Arena.

Waqar works in custody to secure digital assets at Standard Chartered. It also has a fund accounting business and offers transfer agent services. “The financing in the Financing & Securities Services elements are in our FX Prime offering,” he explains. “At the moment my sole focus is on crypto custody, tokenisation and building an ecosystem around those products.”

The Rise of Digital Assets

It’s an exciting time for Standard Chartered with crypto custody and the rise of stablecoins and tokenisation… Whether the asset is Bitcoin, a tokenised money market, or anything tokenisable, there have been a lot of conversations with the bank’s partners in terms of the technology quest.

“Most of the conversations historically have been led by the fact that technology does give you the capability to do 24/7 trading and settlement. Risk management from the technology side is much better. The blockchain dream is sold to everyone, which remains true,” notes Waqar. “The issue has been that on the business side, tackling the areas that actually can work with this technology. You have your near instant settlement availability on blockchains. On the other side you have a T+1 or T+3 cash settlement time – that doesn’t gel very well.

“Entrenched in the day-to-day business of these really large institutions is to be able to inject a new piece of technology. And then suddenly say, hey, all these things are solved. For all the inefficiencies in the system it doesn’t work that quickly. We’re actually taking one step at a time. That’s why it’s exciting that we can see in five or ten years from now what the world will look like. Basically, in our vernacular that means we have near instant settlements and near instant international transfer of value. So, that’s the kind of stuff that we are really interested in for the future.”

Meeting the Blockchain Challenge

Waqar explains that when something like a blockchain comes into a traditional bank, and especially blockchains like the ones that support an asset like Bitcoin, you don’t know who the counterparties are (which are clear on the SWIFT network).

“You have to build capability from a technology side, operations side, risk management side,” he continues. “You need to develop the governance of all those functions to be able to get the value of the asset in the ecosystem. And then be able to add value to that to transact on it. We don’t yet have those ingredients, so it becomes very challenging for us to accept the assets. A lot of the work that the bank has done over the past five years has been around embedding those elements into our day-to-day operations. It’s about understanding the risk profile of the coins and understanding the risk profile of the blockchains.”

Waqar’s team works on how to protect the ecosystem from risks from both an AML and KYC point of view. “We’re also making sure that by doing that we don’t create such a burden to the client that the service becomes useless,” he adds. “We’re trying to balance that out and that’s where the challenges lie at the moment. The next stage is to also be able to integrate all of our traditional cash and assets rails into this. And that’s where the next level of risks will come in… Where people are not used to seeing things on the blockchain… They are used to seeing things on the SWIFT network or a CSD. But when the blockchains come in, profiles will change and that’s where we have to meet the challenges.”

Traditional Meets Digital

For an asset manager with a variety of equities and bonds, but keen to start in crypto and other digital assets, the rails are very different… “The liquidity venues and the way you settle the instrument are very different. And they don’t naturally talk to each other,” confirms Waqar. “It’s a big challenge. But to be able to go with the provider that has all the capabilities, which includes the cash side, the asset side, the crypto side and the blockchain side, is something people are looking for now. Without having the end-to-end picture, it would be very difficult for our clients to have an equitable strategy for their clients. We need to be able to service them appropriately based on the rails they operate in.”

For Standard Chartered’s clients it’s increasingly important for payments to facilitate activity on-chain regardless of the use case of digital assets. “There is a key challenge with payments at the moment. If you do transfer value across geographies or between B2B and B2C, what do you do with that value afterwards?” asks Waqar.

“Are you going to keep it on the books for your treasury or account purposes or are you going to find a way to liquidate the position to pay your employees or pay your service provider? Without the capability to store the asset appropriately and then convert it into a usable form, you can’t do much with it. The only thing you can do is actually transfer value. So, for us what’s important in payments is that we get the transfer value happening immediately. Or as quickly as possible. And then also connect our payment infrastructure and the banking behind. We aim to support the transfer of value from a digital asset into an actual cash asset.”

Building on Success

Standard Chartered’s work with OKX in Dubai has spurred demand the bank didn’t expect. “The key ingredient is that a really large crypto exchange has come together with a really large bank,” reasons Waqar. “When you combine the product features of a large bank like ours with the liquidity of OKX it creates a unique proposition in the market. The traditional players have started to show interest in that because now they can buy diverse assets, pledge them as collateral and start trading while the assets remain safe in a genuine large institutional bank. And at the same time, they also have access to a highly regarded institutional exchange. That story is for us quite important and we’re fostering these relationships more and more…”

It’s been a real success story for Standard Chartered on the money market fund side which is also connected to what the bank is doing on the collateral side. “Money market funds are used to gain value and have an asset that does generate yield on the one side, but also the capability to use the asset as collateral is important,” adds Waqar.

“The money market fund that we launched for China Asset Management in Hong Kong, albeit it’s a retail use case for a start, but then the ambitions are big. The next thing is how do we start using that same asset for pledging for trading purposes and then how do we inject that into a portfolio basket of assets that people buy? At Standard Chartered, we aim to create a supermarket of tokens in a centralised ecosystem. So, our collateral story and the tokenised money market funds is connected, and we want to continue building around it. We’re thinking about other assets now too… We’re looking at equities, bonds and enabling more cryptocurrencies in the same ecosystem as well. It’s just the start of all the things we need to build in the future.”

Why Money20/20?

“This is my first time coming to Money20/20 Europe. Digital asset companies are here alongside financial services and related FinTechs. It’s great that they’re able to talk to each other and it’s quite evident there are lots of great meetings happening. There are many companies here we are either supporting or we’re working with. We’ve also had meetings with UK government representatives geared to attracting talent into the country. They’re trying to make sure that their FinTech ecosystem grows quite significantly for us in the UK and for other footprint markets in Asia; Middle East and Africa are also quite important in how we do that and continue to grow.”

The Evolution of Collaboration between Banks and FinTechs

Standard Chartered is also working in harmony with its ventures partner SC Ventures. The bank is working closely with Libeara for tokenisation and with Zodia Custody as Saas. “Our core institutional bank and our Ventures business are quite tightly coupled from that point of view,” says Waqar. “And it’s quite obvious that the reason for that is how we’ve made significant investments into them. We’ve given part of our DNA into this ecosystem and now, at the bank, they’re building the ecosystem around these capabilities, so we’re keen to bring them in and use their solutions for our services as well.”

Standard Chartered may be a traditional bank but it is a seasoned collaborator with innovative FinTechs. “They need traditional services too,” reasons Waqar. “Once they get to a critical mass, a FinTech may not have the bandwidth to manage certain client sizes. By partnering with some of the FinTechs, we’re seeing that once a certain size of a client comes in, they prefer to work with a large institution like ours. So, that partnership is proactively managed as well from our side. From our ventures side, bringing their innovative approach to product development and technology into the bank, building the ecosystem around risk management and governance from the bank side and then connecting into the FinTechs outside of that ecosystem is something I think is quite an interesting proposition for us. We’re going to keep building on top of that.”

Standard Chartered – Financing & Securities Services

Promoting your future in global securities

We’re ready to help you flourish in emerging and frontier securities services markets

In today’s fast-moving markets, especially  across Asia, Africa and Middle East, success isn’t just about the solutions you choose – it’s about the partnerships you build.

Standard Chartered has been committed to these regions for decades. We understand both the promise and challenges. That’s why we go beyond delivering end-to-end custody, fund, and fiduciary  solutions – we actively help shape the markets themselves.

By working with local governments and industry associations, we bring you early insights and access to new opportunities. Partnering with leading asset managers, fintechs, and infrastructure providers, we connect you to the best of the industry, via a single partner. Because in a world of complexity, collaboration is your greatest advantage.

Learn more at sc.com/en/corporate-investment-banking/financial-markets/financing-and-securities-services/

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FinTech Strategy meets Ishtiaq M Ahmed, Senior Product Manager – Emerging Tech, Innovation & Ventures at HSBC, to learn more about the future of payments – real-time, cross-border and beyond

Financial Transformation Summit 2025 EXCLUSIVE

At the Financial Transformation Summit 2025, Ishtiaq M Ahmed, HSBC’s Senior Product Manager, for Emerging Technology, Innovation & Ventures, joined a panel with J.P. Morgan, Revolut, Lloyds and EY to explore how real-time payments, embedded finance and global collaboration are shaping the future of financial services. How are real-time payments reshaping banking infrastructure? What are the regulatory challenges for cross-border payments? How can banks compete with FinTechs in the rapidly evolving payments space? How are digital wallets and mobile payment platforms changing consumer spending behaviours?

We spoke with Ishtiaq after the session to explore what drives HSBC’s approach to innovation, how customer expectations are evolving, and why trust remains at the core of transformation.

Hi Ishtiaq, tell us about your role at HSBC?

“I work on Global Product within HSBC’s Emerging Technology, Innovation & Ventures team. Our focus is to deliver next-generation propositions, particularly across payments, embedded finance and frontier technologies. We work on horizon 2 and 3 initiatives, with a view to turning emerging ideas into viable, scalable solutions. The goal isn’t just to experiment. It’s to test, validate and shape innovations that will help us serve customers better and redefine how financial services operate in the years ahead.”

It’s a transformational time for payments with the rise of open banking and a national vision for the UK. Give us your overview…

“Payments is possibly the most loved area by both FinTechs and banks. A lot of what is happening in payments, it’s where a lot of meaningful innovation is already landing. It’s no longer theory or ideation, its practical and accelerating. The UK’s National Payments Vision is ambitious, and rightly so. But ambition needs alignment. We need stronger collaboration between Banks, FinTechs, Regulators and infrastructure service providers. This journey will take time and coordination. It’s more a marathon than a sprint, and we’re only just getting started.”

Why is this an exciting time for HSBC?

“Simply because the way technology has penetrated our lives and the influence of technology on how banking is evolving are very closely knitted. Technology is no longer on the edges of banking; it’s embedded in every customer interaction.”

“The shift towards alternative payment methods is one I feel strongly about. For decades, the path was linear: cash to cheque to card. Now, we’re entering a new chapter. Pay by Bank, or direct account-to-account payment, is gaining traction. Some regions have already scaled it. In the UK, it’s about to accelerate. This trend will unlock lower costs, faster movement of money and better control for users. It’s not just about technology. It’s about user experience and future-ready infrastructure.”

What other pain points are your customers experiencing that you need to address? What are they asking you for help with? How are you meeting the challenge?

“I think for customers it’s very simple. As a customer myself, I look for speed, ease, and simplicity in everything that I do. That’s universal. But what makes it complex today is the influence of AI, automation and data. People want innovation, but not at the expense of trust. So, while we innovate, we keep trust as the anchor. The real test is whether customers can do more, faster and easier, while still feeling their money is protected and their experience is safe. That’s the balance we aim to strike.”

Tell us about a recent success story…

“We’re particularly proud of the work we’re doing on embedded payments. The goal is to make payments feel invisible – integrated into the environment the customer is already in. Whether that’s a retail website, a social app or a business platform, customers shouldn’t have to toggle across apps to complete a payment. We have already launched products in this space, and we’re continuing to build. It’s about making banking ambient – present where the customer is, not where the bank wants them to be.”

Why do you think the evolution of collaboration between banks and FinTechs is set to continue? What are you excited about?

“FinTechs bring urgency and imagination. Banks bring trust, infrastructure and scale. The opportunity is not in competing, but in co-creating. We have seen some encouraging partnerships, and we’re still working at the surface level. There’s a much deeper layer of value if we can move beyond tactical deals into genuine joint innovation.”

Why Financial Transformation Summit? What is it about this particular event that makes it the perfect place to embrace innovation? What’s the response been like for HSBC?

“Events like this are important because they bring together different voices with a shared interest in shaping the future. What stood out to me is how open the audience and panellists are to challenging ideas and exploring new perspectives. These are places where real conversations happen; where you meet regulators, banks, FinTechs and enablers all under one roof. It’s these intersections that move the industry forward.”

Learn more at ventures.hsbc.com

About HSBC Emerging Technology, Innovation & Ventures

HSBC Emerging Technology, Innovation & Ventures team is a global group of technologists, data scientists and venture specialist dedicated to shaping the banks future capabilities. Our goal is to deliver world class digital-first banking across HSBC’s global footprint.

Our mission is to drive meaningful innovation across the organisation by identifying and unlocking opportunities that enhance customer experience, improve operational efficiency and embrace disruptive technologies.

Our approach is rooted in experimentation, rapid prototyping, continuous iteration. By working closely with both internal and internal partners and external collaborators, we test and refine new ideas, prioritising solution that are scalable, impactful and aligned with the needs of our customers.

We actively partner with leading technology firms, FintTechs, academic institutions and policy makers to stay at the forefront of digital innovation and accelerate time to market.

By combining the scale, trust and resilience of HSBC with agility and mindset of a tech start-up, we aim to nurture transformative ideas, drive strategic innovation and shape the future of banking.

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FinTech Strategy speaks with Matt Bazley, Account Executive at Hyland, to explore how the content intelligence and process automation specialists are helping to drive operational efficiencies for their financial services clients

Financial Transformation Summit 2025 EXCLUSIVE

Hyland empowers organisations with unified content, process and applications intelligence solutions, unlocking the profound insights that fuel innovation. The Hyland team was at Financial Transformation Summit to reveal the ways organisations can transform their processes with the Hyland Content Innovation Cloud™. By combining AI-powered automation with built-in integrations to productivity tools and business applications, Hyland streamlines workflows across multiple channels, accelerating response times, boosting productivity and improving customer satisfaction.

At the event, Neil Rayment, Sales Solution Engineer, demonstrated the intuitive end-user experience and showed how easy it is to configure, tailor and deploy solutions that can empower key stakeholders across any business. We spoke to Hyland’s Matt Bazley, Account Executive for Financial Services, to find out more…

Hi Matt, tell us about your role at Hyland?

“I’m the Account Executive responsible for banking across the UK and Ireland. I’ve been with the company for just over 18 months. Across my career, I’ve been helping financial services institutions for over 15 years with digital transformations and various programmes.”

What are the key digital transformation solutions Hyland offers Financial Services organisations? How are they making a difference? What are some of the use cases you’re exploring?

“Hyland is at the cutting edge of the content space. We have what we call our Content Innovation Cloud, which is delivering content intelligence, process intelligence and application intelligence. What that means in reality is that we’re helping organisations get access to their content that they don’t currently have access to because it’s spread over many siloed systems and sat in an unstructured format. So, with our content and intelligence, we’re able to get access to that unstructured data, which is around about 80% of an organisation’s data in the financial services sector. And we’re able to then provide knowledge and insight on that content, which helps organisations to make better strategic decisions. Allied to that, with this process intelligence, we’re able to help automate processes across the business. Whether it be orchestrating use cases and workflows or integrating with other systems to deliver application intelligence, we’re able to manage that whole end-to-end life cycle of information across an organisation.”

Why is this an exciting time for the business?

“We’re excited because our strategy is really leading the way. We’re leveraging large language models (LLMs) and AI to be able to deliver these real-life use cases that solve actual challenges. A lot of the time AI projects fail because businesses are trying to implement AI that isn’t actually a solution solving a problem. Whereas the AI we’re using is to actually solve a real-life challenge that businesses face because they want to be hyper-personalised for customers and more customer-centric. And you can’t really do that if you’re only leveraging 20% of the data you hold about your customers. And that’s why getting access and insight around this unstructured data is really vital for financial services organisations right now. We are able to help them leverage that unstructured data and meet them where their data is at. So, it’s not a case of having to migrate all of that data into different platforms or into our platform. We confederate across your information wherever it’s held as a financial services organisation; and that’s really a game-changing position for us and for the industry.”

“AI is the big one. Although it is a bit of a buzzword that everyone’s mentioning nowadays, we’re actually delivering AI solutions to solve problems that businesses face. And that’s one of the real trends in the industries. Most AI projects fail, and companies want AI projects that succeed and deliver real value. The other thing we’re seeing is the rise of hyper-personalisation as part of being really customer-focused and customer-centric. Again, by helping businesses leverage that 80% of information around their customers that they don’t currently have access to, and provide insights on that information, we’re helping those organisations to become really specific and personalised in their dealings with their customers.

“The final piece is around data and governance. So, security around our data as customers, because we’re all consumers at heart and want to know that our information is secure. Using best-in-class processes around security and governance is what we’re really focused on. And that’s a real trend in the market as well. We’re making sure that while we’re leveraging that information about customers, we’re keeping it safe and only using it for what it’s intended for and making sure the processes and governance around that information are really robust.”

What other pain points are clients in the FS space experiencing that you need to address? What are they asking you for help with? How are you meeting the challenge?

“The one big one is the siloed information across multiple systems as part of digital transformation strategies. Over the years, I’ve seen many businesses implement point solutions. They might be best-in-class point solutions… But that means you end up with information and data and processes across 10, 15 or 20 systems. How do you then unify that data and leverage it to make the user journeys more effective? And also the customer journeys better, whatever channel those customers are using?

“What we see is that while trying to be omnichannel for their customers, organisations end up with multiple solutions. One for their mobile app, a solution for their website, a solution for in-branch banking… So, you end up with omnichannel processes that are actually siloed processes. What we are trying to help businesses do is to unify those processes. We can break down those silos and make it a really seamless, integrated journey internally and externally for colleagues and customers.”

Tell us about a recent success story …

“A great example is our work with ABN AMRO – a bank that is one of our longstanding and valued customers. They were looking for a solution because of this very challenge. The bank had multiple siloed systems holding a lot of information and a very complex architecture. They went to market and Hyland was able to prove our solution was able to manage the sheer volume and complexity of the information and content that they had. And most importantly we were able to help them integrate with their line-of-business systems very easily to create that seamless internal/external journey for both users and customers.”

What’s next for Hyland? What future launches and initiatives are you particularly excited about?

“It’s all about continuing to grow for us. With the Content Innovation Cloud, the reception we’ve received from the market, from our customers, has been absolutely tremendous. Businesses are so excited to see the ability and capability of what we’re able to do. And what we’re able to deliver for them in terms of real value through the Content Innovation Cloud. We’ve got customers onboarded already. It’s now about expanding that list of customers who are going to see real value from leveraging the cloud, our AI solutions and driving efficiencies with our content process and application intelligence across their businesses.”

Why do you think the evolution of collaboration between banks and FinTechs is set to continue? What are you excited about?

“Across the market over the last 15-20 years the banks are starting to see FinTechs more as allies than competitors. And they’re leveraging these technologies rather than trying to challenge them. I think that’s going to continue because FinTechs are far more agile. And as customer expectations continue to evolve and become more demanding, banks need to evolve and deal with these demands more effectively and more fluidly. And that’s why leveraging FinTechs is going to be a key differentiator over the next 10 years. That trend is going to continue where banks and FinTechs work together and collaborate rather than challenge each other.”

Why Financial Transformation Summit? What is it about this particular event that makes it the perfect place to embrace innovation? What’s the response been like for Hyland?

“It’s my fourth year coming here with a couple of different companies and I always find this event really valuable. Not only to obviously promote our products and our brand… But to speak to key decision-makers and peers across financial services. We aim to learn from them about whether the challenges we perceive as a vendor are seen by them as a customer. We will continue to learn and evolve our business around key market challenges. Hyland can then focus our solutions around the real-world problems our peers are seeing across financial services. Coming to this event is a great way to meet as many people as possible. And just really enjoy having those meaningful conversations with leaders in the financial services sector.”

Learn more at hyland.com

About Hyland

Hyland puts your content to work, making it smarter and more accessible in the moment of need.

Hyland’s content, process and application intelligence solutions empower customers to deliver exceptional experiences to those they serve. The solutions capture, process and manage high volumes of diverse content, helping you improve, accelerate and automate operational decisions and workflows.

3 Core enterprise content management solutions

20+ Distinct product offerings

1,000s of ways to transform the way you work

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The final day at Money20/20 Europe 2025 was packed with more insights on the future of FinTech, from banks to borderless innovation.

Money20/20 Conference Themes & Tracks

Money20/20 Europe 2025 is structured around four thematic content tracks:

  • Digital DNA – Exploring core infrastructure, platform strategies, and foundational technologies.
  • Embedded Intelligence – AI, machine learning, data strategies, and real-time analytics.
  • Beyond Fintech – Partnerships between fintechs and other sectors like retail, health, and climate.
  • Governance 2.0 – Regulation, digital identity, privacy, and ESG compliance.

Day three featured more impactful sessions across all four pillars, offering attendees more valuable insights and strategies for innovation.

Highlights from Key Sessions at Money20/20 Europe:

How to Create and Leverage FinBank Partnerships

The discussion focused on the evolution and success of FinTech partnerships with banks. Key points included the shift from transactional partnerships to more collaborative, value-driven relationships, emphasizing joint KPIs and product creation. 

Alex Johnson, Chief Payments Officer, Nium

“You really have to differentiate. You really have to stand out for a bank to say, ‘Yeah, I like what you offer enough to go through, six months of onboarding.’ Dare I say, maybe more.”

John Power, SVP, Head of JVs & AQaaS, Fiserv

“The legacy system, it’s a fact of life. They’re there. They’re pervasive. They’re going to be here for a long time, and banks historically have made huge investments in those platforms and systems. So I think both the challenge for the for the bank and the opportunity for the FinTech is, how do you at the front end of those legacy systems develop new products that can scale and that you can bring cross border easily and readily.”

Cecilia Tamez, Chief Strategy Officer, Dandelion Payments

 “It really is cutting the line to be able to deliver opportunity for customers and to be able to expand propositions for new customers.”

“The economic development supply chains shifting to low to middle income countries are incredibly important right now, and cross border payment rails have not been good in low middle income countries.”

Where Fintech goes Next: Tapping into Platforms and Verticals 

The discussion centred on the democratisation of financial services through embedded finance. The panel emphasised the importance of data quality, personalisation, and strategic partnerships in delivering seamless financial experiences – ultimately enhancing customer satisfaction and improving business efficiency.

Hiba Chamas, Growth Strategy Consultant – Independent

“Embedded finance is going to be defined by region and use cases.”

Amy Loh, Chief Marketing Officer – Pipe

“Small businesses don’t want to manage their business through a bunch of different tools that are stitched together. They’re looking to platforms to do everything for them and keep high end services.”

Zack Powers, VP Commercial & Operations – Mangopay

“Most platforms or merchants out there trying to diversify revenue, and they will get auxiliary revenue, or maybe get primary revenue through FinTech activity.”

The Neobanks Strike Back

​​In a dynamic exploration of neobanking’s evolution, Ali Niknam revealed bunq’s remarkable journey from a tech-driven startup to a sustainably profitable digital bank. By leveraging AI across every aspect of their operations, bunq has transformed traditional banking, reducing support times to mere seconds and creating a hyper-personalised user experience. Niknam emphasised the power of user-centricity, showing how innovative features like simple stock trading and multi-language support can democratise financial services.

The bank’s strategic approach – focusing on user needs rather than investor expectations – has enabled them to expand thoughtfully, with plans to enter the UK and US markets. By embracing technological change and maintaining a relentless commitment to solving real customer problems, bunq exemplifies the next generation of banking.

Ali Niknam, Founder & CEO, bunq


“Somewhere in the 70s, we let go of the gold standard, and now currencies are basically floating. The only reason why a dollar or a euro is worth what it’s worth is because of trust and perception. Philosophically, it’s very logical that we have found another abstraction layer by introducing stablecoin, which is not much else than a byte number that has a denomination currency as a backing asset that itself doesn’t have anything as a backing asset. A lot of people might ask, ‘Why would you need a stablecoin? We have euros. I go get a coffee, pay with Apple Pay or cash.’ But there are many countries on this planet where the local currency is not stable. If your country has an inflation rate of 30,000% like Zimbabwe, you would really love to use a different currency. The US dollar has been the currency of choice, but as a normal person, you cannot access the US dollar. A US dollar stablecoin that you can access by simply having a mobile phone – that’s going to be transformational for large groups of people.”

Innovating When Regulation Can’t Keep Up: Lessons from NASA 

Lisa Valencia covered an array of topics, from her 35 year career at NASA and Guinness World Record to the rise of private entities like SpaceX, which has launched 180 missions this year, and the increasing role of public-private partnerships in space exploration. The speaker also touched on international collaborations, particularly with the European Space Agency and the Italian Space Agency, and the potential for space tourism and colonization of the moon.

Lisa Valencia, Programme Manager/Electrical Engineer – Pioneering Space, LC (ex NASA)

“Back in the day, NASA got 4% of the national budget. Now it’s down to just 0.1%, so we’ve had to get creative with private partnerships. SpaceX is the perfect success story. They came to us in 2007 needing money after some rocket mishaps, and look at them now! From my balcony, I see their launches every other day. They’re planning 180 launches this year alone.Talk about a return on investment!” 

“We’re planning to colonise the South Pole on the moon. The idea is to extract water and hydrogen from the regolith—both for living there and for fuel.”

Scaling Internationally in 2025: Funding, Innovating, and Breaking into New Markets

The conversation focused on the growth and strategy of fintech companies, particularly those with a strong presence in Europe and the US. The panel featured Ingo Uytdehaage, CEO and co-founder of Adyen, and Alexandre Prot, CEO of Qonto. Both leaders expressed a preference for organic growth over acquisitions, emphasizing the importance of scaling efficiently before pursuing an IPO.

Ingo Uytdehaage, CEO and co-founder of Adyen

“I think an important part of scaling a company is not just thinking about your product, but also considering the markets you want to address, and how you ensure you become local in each country.”

“We realised over time that if we really want to bring the customers, we need to have the best licenses to operate. A banking license gives you a lot of flexibility.” 

“Being independent from other companies, other financial institutions, that gives you flexibility to build what your customers really want.”

“I think it’s very important, also in Europe, that we continue to be competitive. If you think about regulations and AI, we shouldn’t try to do things completely differently compared to the US.”

Alexandre Prot, CEO of Qonto

“We need to be very strict about tech integration and avoiding legacy which slows us down.”

“We still need to scale a lot before we have a successful IPO. A few team members are working on it and getting the company ready for it. But, the most important thing is just scaling efficiently in the business, and maybe an IPO would be welcome in a couple of years.”

Putting The F in Fintech

The panel discussion focused on the role of women in FinTech based on personal experiences.

Iana Dimitrova, CEO, OpenPayd

“At times, being underestimated is helpful, because if you’re seen as the competition, driving an agenda is becoming more difficult. So what I found, actually, over a period, is that bringing your emotional intelligence, leaving the ego outside of the outside of the room, and just focusing on execution is is incredibly helpful.” 

Megan Cooper, CEO & Founder, Caywood

“The moment we start defining ourselves as like a female leader or a female entrepreneur, you almost kind of put yourself in a bit of a box. And so I think just seeing yourself on an equal playing field and then operating it on an equal playing field and interacting in that way is quite advantageous.”

“We can’t just want diversity and hope it happens. We actually have to be intentional about creating it.”

Valerie Kontor, Founder, Black in Fintech

“Black women make up 1.6% over the FinTech workforce, but when we look at the financial reality of black women by the age of 60, only 53% of black women have enough money in their bank account to retire. We need to start marrying people in FinTech and the people that we need to serve.”

Money20/20 Europe 2025 closed its doors but the next edition of the conference will return to Amsterdam from June 2–4, 2026, promising to continue the tradition of shaping the future of financial services…

  • Artificial Intelligence in FinTech
  • Blockchain & Crypto
  • Cybersecurity in FinTech
  • Digital Payments
  • Embedded Finance
  • Host Perspectives
  • InsurTech
  • Neobanking

From June 9-13, London Tech Week gathers investors, enterprises, and startups from around the world to network, learn, and solve the most pressing challenges facing the IT sector.

London Tech Week 2025 is coming. The event will take place from June 9–13 at Olympia London, and is one of the world’s largest tech events, drawing over 45,000 attendees from across 90 countries. Designed to bring together the innovators creating the technologies of the future, the investors who fund them, and the enterprise tech leaders who adopt them, the event is one of the most impactful gatherings of tech professionals in the industry. 

“Innovators. Investors. Tech giants. The visionaries applying new tech to solve the world’s biggest problems. Enterprise tech leaders who are creating solutions to make work easier and life more fun,” according to the event website. “They all come to London Tech Week to see where tech will take them next.”

This year, London Tech Week is expanding, occupying double the space at Olympia, new features and a whole new experience. Keynote and expert speakers at this year’s event include: Dame Melanie Dawes, Chief Executive at Ofcom; Darren Hardman, Corporate VP & CEO at Microsoft UK; Dr Jean Innes, CEO of the Alan Turing Institute; Sir Tim Berners-Lee, inventor of the World Wide Web; renowned science educator and broadcaster, Professor Brian Cox; and many, many more. 

This year’s event targets key demographics across the tech space, including… 

Startups 

Attending this year’s event are future unicorns, top investors and the tech leaders of tomorrow. Attendees have the opportunity to connect with visionary founders from some of the UK and Europe’s most exciting startups, and learn how they’re approaching funding, scaling, and solving some of the world’s most pressing challenges.

Enterprise 

Attendees will also have the opportunity to learn how large corporates are pushing the boundaries of innovation by embracing emerging technologies. This year’s London Tech Week will feature insights from top industry leaders about how they are driving productivity, efficiency, and competitiveness across various sectors.

Investors 

London is home to a world class investment ecosystem, with VCs, CVCs and angel investors. Many will be attending this year’s event — on the lookout for their next venture. The London Tech Week 2025 enhanced app is designed to help startups and other investment-seekers find people with the right profile in order to maximise their time at the event.

“London Tech Week is THE gathering spot, not even in London or in the UK, but in Europe. You can meet wonderful tech companies here.” – Canva
Image courtesy of London Tech Week 2025.
Image courtesy of London Tech Week 2025

The Fringe 

The London Tech Week Fringe Event programme takes place from 9 – 13 June across London, featuring smaller organisations and niche topics you won’t find on the more mainstream technology conference circuits. The event’s partners cover a wide range of topics from emerging areas to established industry trends. This year the event it featuring fringe events covering SpaceTech, Healthcare, Areospace & Automotive, Investment, AI, Entrepreneurship, and more. 

Learning Labs 

Back for its second year at London Tech Week, the Learning Labs offer diverse content and learning opportunities. These sessions, presented by our leading event sponsors, cater to all experience levels. Learn about The Tech Lifecycle, AI and Data Integration, Natural Intelligence, Building a Strong Digital Core, and more.
Learn more about attending London Tech Week 2025 here.

  • Digital Strategy
  • Event Newsroom

InsurTech Insights Europe 2025: A Transformational Gathering for the Future of Insurance

InsurTech Insights Europe 2025, held on March 19-20 at the InterContinental London – the O2, reaffirmed its status as the premier conference for insurance technology professionals across the continent. Drawing more than 6,000 attendees from over 80 countries, the event brought together C-level executives, startup founders, investors, and tech leaders. They explored the evolving future of insurance powered by innovation and digital transformation.

Key Themes

With seven stages and over 400 speakers, the conference agenda was packed with compelling keynotes, forward-looking panel discussions, fireside chats, and practical workshops.

The overarching theme of the 2025 edition was crystal clear: artificial intelligence (AI) is no longer a futuristic concept, it’s the driving force behind today’s insurance innovation. Topics like automation, generative AI, claims transformation, underwriting analytics, embedded insurance, cyber security, and ESG all reflected a dynamic industry poised for rapid acceleration.

A Focus on Leadership & Diversity

One of the standout sessions was the panel discussion titled “The ROI of Gender Diversity: Breaking the Glass Ceiling for Women in Leadership”, held on the Purple Stage. Featuring high-level voices from Solera, unlock VC, and AXA XL, the panel addressed the often-overlooked yet crucial importance of gender diversity in executive roles. The discussion didn’t stop at raising awareness; it presented measurable business outcomes tied to diverse leadership and called for action to foster inclusivity across all levels of the industry.

Complementing this session was “The Women in Insurance Power Group Meet-up”, a networking event held at the Sky Bar on the 18th floor. Attendees not only connected over lunch but were also invited into an exclusive WhatsApp group, encouraging long-term collaboration and support among female leaders and allies in the space.

The Innovators Hub and the ITI Marquee: Where the Future Was Born

A major addition to this year’s conference was the debut of the ITI Marquee. A vibrant, purpose-built zone dedicated to showcasing bold ideas and startup brilliance. This space housed the Innovators Hub, which included its own dedicated Innovator’s Stage. Here, early-stage ventures and InsurTech pioneers pitched their solutions to panels of VCs, corporate innovation leads, and fellow founders.

This setting offered more than exposure, It cultivated real-time connections between startups and investors, giving many smaller players their first shot at meaningful partnerships or funding opportunities. The diversity of ideas, from AI-powered claims processors to data-driven risk models for climate insurance, reflected the industry’s hunger for next-gen solutions.

Keynote InsurTech Highlights

One of the most talked-about moments of the event came from Daniel Schreiber, CEO and Co-Founder of Lemonade, whose opening keynote explored how AI can dramatically enhance customer experience in insurance. He challenged the audience to rethink not just how insurance is sold or serviced, but why it’s offered. And how technology can transform its social impact.

Another crowd favourite was the session on “The Path to Embedded Insurance”, which unpacked how insurance products are increasingly being bundled into digital ecosystems like ecommerce platforms, mobility apps, and smart home technologies. This wasn’t just a hype piece. Real-world case studies from European neobanks and auto insurers illustrated how embedded models are already driving customer growth and retention.

Among the compelling keynotes on the Main Stage, Sofia Kyriakopoulou, a Fintech Strategy AI Champion and Group Chief Data & Analytics Officer at SCOR, revealed how GenAI innovation at one of the world’s largest reinsurers is transcending the realm of proof of concepts to become fully productive.

InsurTech Deep Dives: AI, Data & Digital Claims

Sessions throughout the week made it clear that AI is at the forefront of virtually every area of insurance operations. Whether it was applied in predictive underwriting, fraud detection, or personalised customer engagement, companies are looking to AI not just for marginal gains but foundational transformation.

A standout workshop on AI in Claims Automation included live demos from startups using computer vision and NLP to automate damage assessment. Meanwhile, a session on Data-Driven Underwriting shared how insurers are replacing traditional risk proxies with real-time data streams, from wearables to smart meters.

Cybersecurity was another hot topic, with insurers discussing how to build resilient cyber products in the face of increasing digital threats and regulatory complexity.

Global Meets Local: The Power of Diversity

Although a European event at heart, the conference had a distinctly global flair. Speakers came from the U.S., Singapore, Brazil, South Africa, and the Middle East. They brought diverse perspectives on shared challenges such as climate change, digital regulation, and consumer trust.

Simultaneously, European startups shone on stage. Companies from the UK, Nordics, DACH, and Benelux presented innovative, often niche solutions for localised market challenges—from parametric crop insurance to real-time mobility coverage.

Trade Exhibition & Brand Visibility

The exhibition floor was a hive of activity, featuring booths from established players like Munich Re, Swiss Re, Guidewire, Duck Creek, and Cognizant, alongside vibrant startup showcases. Product demos, swag giveaways, and live challenges kept engagement high and made it easy for brands to stand out.

The conference proved to be a golden opportunity for brand elevation, allowing companies to position themselves as thought leaders or rising disruptors in front of an incredibly curated audience.

InsurTech Insights Europe: The Verdict

The closing remarks from Kristoffer Lundberg, CEO of InsurTech Insights, captured the spirit of the event:

“It’s a privilege for us to gather together the sharpest minds in the industry to discuss the role of AI in insurance. The direction and impact of these technologies will shape the space for decades to come.”

Indeed, InsurTech Insights Europe 2025 wasn’t just a conference, it was a strategic gathering. A melting pot of ideas and a launchpad for the next generation of insurance products and platforms. Attendees walked away not just with new business cards, but with fresh ideas, collaborative leads, and the motivation to drive innovation within their own organisations.

As the insurance industry continues to evolve amid mounting global challenges and rapidly advancing tech, this event served as a timely and energising reminder… The future is not something to wait for—it’s something to build, together.

  • Artificial Intelligence in FinTech
  • Host Perspectives
  • InsurTech