Fewer than 40% of internal audit leaders believe their internal audit function is adequately prepared to detect AI-enabled fraud.

58% of internal audit leaders view AI-enabled fraud as a moderate risk.

40% of internal audit functions support awareness or training initiatives related to AI-enabled fraud.

45% of internal audit leaders identify deepfake audio or video impersonation as a leading AI-enabled fraud threat.

29% of internal audit leaders are concerned about forged contracts or legal documents created using AI.

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.

43% of internal audit leaders cite insufficient time to dedicate to AI-specific risk management efforts.

65% of internal audit leaders identify fabricated invoices or financial documents as a leading AI-enabled fraud threat.

41% of internal audit leaders are concerned about the use of AI to insert malicious code.

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.

Among retail Pindrop customers, non-live fraud increased 56% month-over-month in November 2025.

AI fraud surged 1210% in 2025.

Deepfake attacks increased by 880% in 2024.

Live retail fraud dropped by 69% month-over-month in November 2025 while non-live fraud rises.