AI Threats Statistics

40% of organizations report that employees trust AI-powered attacks.

46% of organisations cite AI-driven cyber threats as one of their top three challenges over the next five years.

36% of federal cyber and IT leaders are confident that cyber defenses can keep pace with AI-enabled attackers

79% of federal IT and cybersecurity decision makers are very or extremely concerned about adversaries using AI to accelerate cyberattacks against their agencies over the next 12 to 18 months

Adoption of AI-powered fraud detection grew by 71% year-on-year.

32% of security professionals say AI-driven threats and organisational preparedness are the top issues boards ask about most.

41% of cybersecurity professionals identify AI-powered attacks at scale as their biggest security concern, compared with 21% citing supply chain risk and 21% citing unknown threats.

19% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland have turned off voicemail recordings to prevent voice cloning.

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.

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.

Exposure to AI fraud or scams is 67% for Gen Z, 51% for Millennials, 46% for Gen X, and 30% for Boomers and older.

67% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland worry about voice cloning.

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.

50% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland have experienced some form of AI fraud or scam.

84% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland say convincing video evidence no longer feels like proof.

Exposure to AI fraud or scams is 56% in the United States, 48% in the UK, and 47% in the DACH region.

14% of Nordic CISOs cited AI-related threats as their primary concern.

51% of Americans aged 65 and older are extremely concerned about AI-powered 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.

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

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

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.

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

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.

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.

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

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.

Deepfake attacks increased by 880% in 2024.

Non-AI fraud increased by 195% by the end of 2025.

A major U.S. healthcare provider experiences over 15,000 unique bot fraud calls since the summer of 2025.

AI fraud surged 1210% in 2025.

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