Rob Meakin, Director of Fraud and Identity at Creditinfo
Fraud now accounts for over 40% of all crime in the UK. As financial services continue their shift online, and as AI tools make identity fraud faster and more scalable than ever, the question facing organisations is no longer whether to take prevention seriously. It’s whether they’re treating it strategically.
Most don’t. Fraud prevention is still widely framed as a defensive cost, something to minimise rather than invest in. That framing is becoming a liability.
Every additional friction point in onboarding reduces conversion. Every false decline risks losing a legitimate customer permanently.
Identity is the new security perimeter
Traditional security was built around boundaries. Keep the perimeter secure, keep intruders out. That model has broken down. With cloud infrastructure, remote access, and digital-first customer journeys now the norm, there is no single perimeter left to defend. What remains is identity.
But digital identity isn’t a passport scan and a database lookup. It’s a pattern. Devices, locations, login behaviour, biometric signals, transaction history. Each interaction adds a layer of context. And fraudsters have adapted accordingly. Synthetic identities, stolen credentials, automated scripts, coordinated networks probing systems at scale.
The recent emergence of Claude Mythos, an AI system that autonomously identified zero-day vulnerabilities in every major operating system and browser during controlled testing, is a signal of where this is heading. Anthropic chose not to release it publicly precisely because of what it demonstrated was possible. As CrowdStrike’s CTO put it, the window between a vulnerability being discovered and exploited by an adversary has collapsed. What once took months now happens in minutes.
The same technologies accelerating fraud are also reshaping detection. Machine learning models can identify anomalies across millions of transactions in real time, detect coordinated fraud rings, and continuously adapt to emerging attack patterns. The competitive edge will belong to organisations capable of combining automation with explainable, governed decision-making.
Layered signals, not single checks
A document verification on its own is weak. A password on its own won’t do the trick. Even biometric verification, taken in isolation, can be manipulated. The strength of a fraud prevention system lies in how it combines signals.
Is this device consistent with previous sessions? Does the location make sense? Does the behaviour match established patterns? Is the transaction aligned with how this customer typically operates?
No single data point tells the full story, but patterns do.
A layered, real-time approach lets organisations score risk proportionally and respond accordingly. Low-risk interactions move through quickly. Higher-risk cases trigger stepped-up verification.
This matters enormously for the customer experience. The persistent assumption is that stronger fraud controls mean more friction. That’s only true if you rely on visible checkpoints: repeated document uploads, manual reviews, delayed approvals, false declines. Each of these costs money, and erodes trust.
When risk assessment happens in the background, built into the flow rather than bolted on top of it, the experience improves for legitimate users while fraud is intercepted earlier. False decline rates fall. Operational overhead drops. Conversion goes up.
From cost centre to growth driver
This is where the strategic reframe matters. Organisations that invest seriously in identity and risk capability don’t just protect themselves. They gain optionality.
They can enter new markets knowing their systems can handle the exposure. They can launch digital products without building in worst-case guardrails that slow everything down. They can approve more customers, across more segments, without increasing loss rates.
In the UK market, where fraud volumes are high and regulatory scrutiny is intensifying, this distinction is increasingly visible. Regulators are increasingly treating fraud resilience as a core operational requirement rather than a standalone compliance issue. Expectations around customer protection and real-time monitoring are rising across financial services and digital commerce alike.
Companies with robust fraud infrastructure move faster. They approve more. They recover more quickly when incidents do occur. Those treating prevention as a box-ticking exercise absorb the cost on both ends: losses and missed growth.
Trust, in this context, isn’t a soft value. It’s a commercial asset. A single high-profile fraud incident can undo years of brand investment.
The organisations that understand this are repositioning fraud prevention not as a line item to minimise, but as infrastructure to build on. The question they’re asking isn’t “how do we reduce fraud losses?” It’s “how do we build systems strong enough to grow on?”
That shift in framing changes everything: how budgets are set, how technology is selected, how teams are structured, and ultimately how competitive the business becomes.
Fraud prevention isn’t about playing defence. It’s about earning the right to move fast. The future belongs to organisations that can verify trust instantly, invisibly, and at scale.