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How to get verifiedWhy this report matters
In the US, identity verification is no longer just a routine compliance requirement; it must be understood as a critical component of digital infrastructure. As AI-generated content becomes indistinguishable from reality, relying on manual visual inspection increases exposure to fraud and impersonation attacks.
awareness of the term “deepfake” in the US, the lowest among all analysed global markets.
mean detection score for US respondents, only a tiny fraction better than a coin flip, where 0 is random guessing.
of Americans cite personal fraud and impersonation scams as their top concern regarding synthetic media.
of US users are classified as “high-risk”: poor detection accuracy, high confidence in their abilities, and rarely verifying suspicious content.
What you’ll learn in this report
Deepfake detection accuracy in the US
Why theoretical knowledge creates a false sense of security while actual detection accuracy remains barely above a coin toss.
Identity fraud and synthetic media risks
How synthetic identities and deepfake videos are being deployed to bypass verification checks and open fraudulent accounts.
Human vs AI detection limits
Why experience creating AI visuals provides only a marginal 10% increase in accurately identifying fake media, and why human judgment alone is no longer a reliable safeguard.
Future of identity verification
Why US businesses must shift toward AI-powered biometric authentication to detect synthetic media at the point of interaction, rather than relying on customer self-attestation or manual review.
Get the Veriff Deepfakes Report 2026
Reinforce your fraud prevention strategy with data-driven insights into how 1,000 US respondents interact with synthetic media. Learn why seeing is no longer believing in the world’s largest digital economy.
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Is the Deepfakes Report 2026 free to access?
Yes, the full report is available for free download to help organizations improve their fraud prevention strategies.
What is the current state of deepfake detection accuracy in the UK?
British respondents achieved a mean detection score of 0.07. This indicates that while they perform slightly better than a “coin flip” (0.0), their ability to distinguish deepfakes from reality is almost entirely based on guessing.
How does deepfake awareness in the UK compare to other markets?
The UK leads globally in conceptual familiarity; 74% of UK adults are familiar with the term “deepfake,” outperforming Brazil at 67% and the US at 63%. However, this high awareness does not translate to better detection, creating a “false sense of security”.
What defines a "high-risk" user in the context of AI fraud?
A “high-risk” user—accounting for approximately 7% of the market—is someone who demonstrates low detection accuracy, expresses high confidence in their abilities, and rarely or never verifies suspicious content.
Why is manual identity review becoming ineffective against deepfakes?
Modern AI can replicate visual cues like skin texture and facial movements so accurately that human intuition and visual inspection are no longer reliable safeguards.
Manual review relies on the human eye, which is no longer a reliable line of defense because modern AI can replicate visual cues—like skin texture and facial expressions—with high accuracy. Because human detection is now close to random, businesses that rely on manual judgment are inheriting vulnerabilities directly.