Fraud 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.

38% of internal audit functions test or strengthen fraud prevention and detection.

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.

57% of internal audit functions currently assess control weaknesses that enable fraud.

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.

38% of consumers worry most about financial fraud.

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

AI fraud surged 1210% in 2025.

In Q4 2025, Business Email Compromise accounted for 51% of all email fraud cases.

Diversion tactics (fraudulent invoices, fake payroll requests) accounted for 18% of BEC incidents in Q4 2025.

Deepfake attacks increased by 880% in 2024.

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

Nearly 60% of organizations report fraudsters using compromised Personally Identifiable Information (PII) to bypass knowledge-based authentication (KBA).

A U.S. healthcare provider faced over $40 million in account exposure related to fraudulent AI bot calls in 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.

Fifty percent of affected consumers cite immediate financial fraud as their primary fear, and 54 percent of consumers report an increase in targeted phishing attempts after a breach (2025)

In Q3 2025, fake account creation accounted for 46% of all fraudulent activity.

In Q3 2025, SMS toll fraud attacks targeting the gaming sector increased by 125%.

In Q3 2025, SMS toll fraud targeting the fintech sector grew by 97%, alongside a major spike in human fraud farm activity.

SMS toll fraud now comprises 78% of all attacks on the gig economy, up from 48% a year prior.

In Q3 2025, SMS toll fraud malicious traffic surged by 67% over Q2 2025, making it the fastest-growing attack type of the quarter.

In Q3 2025, the gig economy experienced 51% fewer attacks but 49% more malicious traffic, resulting in a 300% increase in average attack size.

88% of organizations encounter deepfake or impersonation attacks at least occasionally.

41% of IT, cybersecurity, risk, and fraud leaders reported that their company has hired and onboarded a fraudulent candidate.

Only 28% of IT, cybersecurity, risk, and fraud leaders consider deepfake-resistant verification tools a priority for identity and access management modernization.

52% of IT, cybersecurity, risk, and fraud leaders are definitely rethinking identity and access management strategies to address AI-driven identity threats.