AI Threats Statistics
AI Threats by Industry
Latest Statistics
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.
Non-AI fraud increased by 195% by the end of 2025.
Live retail fraud dropped by 69% month-over-month in November 2025 while non-live fraud rises.
A major U.S. healthcare provider experiences over 15,000 unique bot fraud calls since the summer of 2025.
AI-powered attacks were identified as a root cause in more than 40% of small business cyber events.
45% of cybersecurity leaders cited constantly evolving AI threats as their greatest challenge when tackling behavioral risk.
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.
80% of Gen Z parents fear their kids will fall victim to AI-enhanced online threats.
87% of Pacesetters (most AI-ready group) report awareness of AI-specific threats, compared to 42% of all companies.
51% of organizations surveyed focus on recruiting the right talent to manage AI-specific cybersecurity threats.
20% of education institutions reported that they haven’t experienced AI-generated phishing attempts or misinformation campaigns.
66% of education leaders are aware of privacy concerns as an AI cybersecurity risk.
Awareness of potential AI-related cybersecurity risks is reassuringly high (83%) among education leaders.
36% of education institutions responded 'Not that I know of' when asked about AI-generated phishing attempts or misinformation campaigns.
90% of faculty are at least “somewhat concerned” about AI-related cybersecurity threats.
2% of education institutions feel “not at all prepared” to handle AI-related cybersecurity threats over the next 1–2 years.
37% of faculty are 'Very concerned' about AI-related cybersecurity threats.
More than a third (37%) of faculty said they were “very concerned” about AI-related cybersecurity threats.
53% of faculty are 'Somewhat concerned' about AI-related cybersecurity threats.
10% of faculty are 'Not concerned' about AI-related cybersecurity threats.
32% of education institutions feel “very prepared” to handle AI-related cybersecurity threats over the next 1–2 years.
More than 40% of faculty have already been impacted by AI-related cybersecurity threats.