One in every 100 failed checks now involves a deepfake, LexisNexis Risk Solutions warns, as AI-generated attempts accelerate worldwide.
LexisNexis Risk Solutions warned that AI-generated deepfake documents, images and liveness videos are becoming one of the fastest-growing fraud vectors worldwide, recording a 180% year-on-year increase in attacks.
The global fraud prevention specialist says organisations risk significant exposure if identity and customer onboarding checks fail to keep pace with deepfake content, which it describes as improving in quality daily.
Juniper Research estimates that 100.4 billion digital identity verification checks will be carried out globally in 2026, up 16% year on year, and predicts that one in every 100 failed checks will contain a deepfake. Passports, driver’s licences and national ID cards remain the most sought-after documents, given their high value and reusability, with those issued by the United States, United Kingdom, Germany and France most in demand.
According to LexisNexis Risk Solutions’ latest Cybercrime Report, one in every 11 new account creations in 2025 was a fraud attack, and almost a fifth of all reported fraud involved unauthorised access to customer accounts.
Bad actors use deepfakes to bypass identity checks in order to open new accounts, take over existing ones, make unauthorised payments and withdrawals, launder proceeds of crime, or abuse new customer incentives. LexisNexis Risk Solutions notes that deepfakes typically fail on several minor flaws rather than the single major defect that gives away a physical forgery, making them difficult to catch through manual review.
Effective defences require forensic examination of document structure, image integrity, holograms, etching and microtext, alongside analysis of facial micro-movements, light reflection, and image manipulation or injection tactics.
Kimberly Sutherland, global head of fraud and identity at LexisNexis Risk Solutions, said: “Deepfakes vastly complicate digital identity verification. Protecting against this surge of attacks requires a solid line of defence incorporating end-to-end capture, fraud analysis and liveness checks. Even the smallest gap in your defences is like an open window that a fraudster can climb through.”
Shane O’Sullivan, research analyst at Juniper Research, said: “Increasingly, fraud detection system success is defined by how well it can detect advanced threats such as synthetic identities and deepfakes while maintaining interoperability across standards and minimising latency and user friction.”
LexisNexis Risk Solutions says the financial and reputational risk to businesses is real, with AI-generated attacks practically doubling year over year and growing more sophisticated with each wave.
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