2025 U.S. Fraud Report: 68% of Banks Turn to AI as Financial Crime Grows More Sophisticated
Financial fraud tactics continue to evolve, with unauthorized third-party fraud accounting for a markedly larger share of cases at U.S. banks. Research by PYMNTS Intelligence and payments technology company Block found that rules-based systems, which use fixed conditions to block transactions, struggle to identify rapidly changing attack patterns in real time. This is prompting banks to strengthen their defenses with AI and behavioral analytics.
A survey released in 2025 found that 68% of U.S. banks had turned to AI technology as fraud began moving faster than traditional rules-based systems could handle. Banks are using transaction and customer behavior data to identify unusual activity while reducing false positives and response times. The report did not disclose total industry-wide investment, but indicated that AI is gradually moving from an experimental tool to a primary fraud-prevention measure.
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The history behind this eventAI and Cartels Push Global Financial Crime to $4.4 Trillion
Transnational criminal groups are using AI to generate scam scripts at scale, forge identities and expand fraud operations, while moving funds through professional money-laundering networks. Nasdaq Verafin said the activity is not only inflicting financial losses on individuals but also increasing the fraud-detection, anti-money-laundering compliance and broader financial-system risks facing banks.
Nasdaq Verafin released its 2026 Global Financial Crime Report on March 11, 2026, estimating that global illicit financial activity reached $4.4 trillion in 2025, up $1.3 trillion from 2023. Losses from scams and bank fraud totaled $579.4 billion. The survey also found that 75% of anti-financial-crime professionals plan to increase their use of AI to strengthen automated threat detection.
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