AI Fraud
Cybersecurity statistics about ai fraud
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27% of internal audit leaders view AI-enabled fraud as a high risk.
26% of internal audit functions investigate and document AI's role in fraud incidents.
58% of internal audit leaders identify automated social engineering as a leading AI-enabled fraud threat.
28% of internal audit leaders are concerned about fabricated job applications or employee profiles created with AI.
27% of internal audit leaders are concerned about synthetic identity fraud enabled by AI.
57% of internal audit leaders identify a lack of appropriate technology or tools as a primary barrier to improving AI-enabled fraud preparedness.
43% of internal audit leaders cite insufficient time to dedicate to AI-specific risk management efforts.
Among retail Pindrop customers, non-live fraud increased 56% month-over-month in November 2025.
Deepfake attacks increased by 880% in 2024.
AI fraud surged 1210% in 2025.
A major U.S. healthcare provider experiences over 15,000 unique bot fraud calls since the summer of 2025.
Live retail fraud dropped by 69% month-over-month in November 2025 while non-live fraud rises.
43% of consumers in Latin America cite AI-driven fraud, including deepfakes and voice cloning, as an emerging threat reshaping perceptions of safety in digital spaces.
Menlo Security identified nearly 600 incidents of GenAI fraud in 2024.