Fraud in the Age of AI: Trends, Threats, and Management Tactics
New global research reveals how fraud leaders at financial institutions are responding to AI-driven threats and where critical gaps remain.
White Paper
AI is transforming fraud itself, not just fraud detection. This global survey of 202 fraud, risk, and technology leaders examines AI-driven fraud trends, the deployment gap between AI ambition and production scale, false positive challenges, and investment priorities over the next 24 months. Produced by Finextra Research in association with FICO, with expert commentary from JPMorgan Chase, BNY, and LHV Bank.
- Over 26% of organizations report fraud attempt increases above 51%, with AI acting as an accelerant across every fraud type simultaneously.
- Only 28% have fully deployed AI/ML fraud detection models at scale, a significant vulnerability as threats evolve.
- 33% report high false positive rates, creating customer friction that undermines trust at critical moments.
- 99% agree on the need for enterprise-wide fraud orchestration, yet few have achieved it. Third-party vendor models have the greatest influence on fraud decision-making.
- Identity verification and AI/ML for fraud detection lead investment priorities over the next 24 months.
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