AI Fraud
Cybersecurity statistics about ai fraud
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88% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland say it is becoming harder to tell what online content is genuinely human or real.
19% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland have turned off voicemail recordings to prevent voice cloning.
84% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland say convincing video evidence no longer feels like proof.
74% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland are concerned about experiencing a deepfake or other AI-generated scam.
67% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland worry about voice cloning.
Exposure to AI fraud or scams is 67% for Gen Z, 51% for Millennials, 46% for Gen X, and 30% for Boomers and older.
Exposure to AI fraud or scams is 56% in the United States, 48% in the UK, and 47% in the DACH region.
50% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland have experienced some form of AI fraud or scam.
85% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland say it is hard to tell a scam apart from the real thing, up from 66% in 2025.
51% of Americans aged 65 and older are extremely concerned about AI-powered fraud.
20% of bank leaders believe their bank or its customers were impacted by fraud involving AI or deepfake media in the prior 18 months.
58% of internal audit leaders view AI-enabled fraud as a moderate risk.
65% of internal audit leaders identify fabricated invoices or financial documents as a leading AI-enabled fraud threat.
29% of internal audit leaders are concerned about forged contracts or legal documents created using AI.
45% of internal audit leaders identify deepfake audio or video impersonation as a leading AI-enabled fraud threat.
Fewer than 40% of internal audit leaders believe their internal audit function is adequately prepared to detect AI-enabled fraud.
55% of internal audit leaders identify insufficient staff with relevant skills or expertise as a primary barrier to improving AI-enabled fraud preparedness.
43% of internal audit leaders cite competing organizational priorities as a barrier to AI-specific risk management efforts.
40% of internal audit functions support awareness or training initiatives related to AI-enabled fraud.
27% of internal audit leaders view AI-enabled fraud as a high risk.