Can AI fraud be beaten?

Fraud has surged as AI tools have become more accessible, giving cybercriminals – and those once thought to be “low-level” fraudsters – increasingly sharper tools to launch attacks. A report from Cifas, one of the UK’s anti-fraud bodies, showed that its members reported 444,000 cases of fraud last year – a 6% increase on 2024.

AI is proving to be a game-changer in the variety, speed, and sophistication of cyberattacks. Digital deception is leaps and bounds ahead of where it was three years prior, never mind a decade ago. This type of fraud is more scalable and convincing than ever before. Fraudsters can now generate realistic identities, fabricate documents, manipulate images, and create highly persuasive communications at a fraction of the cost and effort previously required. Just look at the influx of news stories and warnings about fake insurance claims and voice cloning that target banks and individuals. The threat landscape for businesses of all sizes is changing, and so must we. But how?

Trust as infrastructure

In heavily regulated industries, such as law, financial services, and housing, trust is not an abstract principle. Trust forms the basis of relationships and interactions, serving as the operational infrastructure among partners, customers, and other key stakeholders. Every client relationship, mortgage application, legal filing, and financial agreement depends on confidence that people are who they say they are and do what they say they’re going to. This, in turn, relies on accurate information.

What was once a firm foundation is coming under mounting pressure. The challenge is no longer simply detecting obvious fraud. Businesses have to accurately distinguish between genuine customers and increasingly credible imitations. For regulated industries, the stakes are particularly high. Compliance obligations continue to grow, while customers rightly expect fast, seamless experiences. Businesses can no longer rely on outdated verification processes or isolated data checks.

Technology is the answer, unsurprisingly

The future requires a more robust approach to combatting AI fraud – one that combines technology, automation, and independent verification across multiple trusted data sources. Yet doing so cannot compromise ease of use or a frictionless experience for everyone involved.

Becoming a victim of fraud is an easy trap for businesses to fall into. That’s why it’s crucial they use multiple data sources and third-party verification to build a more complete and reliable picture of identity and risk, and react quickly to the costly threat posed by AI-enabled fraud. Some companies were founded on this, or have quickly pivoted to provide robust solutions to the evolving threat, leading to better results. Businesses can no longer depend on a single document or photo; firms must cross-reference information, identify inconsistencies, and establish confidence through corroboration. Not only does this approach improve fraud detection, but it also enables legitimate customers to move through processes effectively and efficiently.

As AI reshapes the threat landscape, verification must adapt alongside it. The same tools that fraudsters can exploit can be used by businesses to strengthen their defences when the technology is applied responsibly or when they engage with a knowledgeable provider.

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Preserving institutions

Businesses that use technology to combat AI-enabled fraud can preserve trust in the institutions that underpin modern society. Financial systems, legal frameworks, property markets, and public services all depend on shared confidence in the authenticity of information. When people can no longer distinguish fact from fabrication, trust erodes – and so does stability.

Restoring and maintaining trust will require a renewed commitment to updated verification. In an era of misinformation and AI-generated deception, independent evidence matters more than ever. The future of regulated industries will belong to those who can verify with confidence. If seeing is no longer believing, then trust must be earned through undeniable proof and the technology that verifies it. That is how AI-enabled fraud can be beaten.