AI-driven fraud tops $579B
Global fraud losses fueled by AI surged in 2025 to roughly USD $579.4 billion, highlighting elevated financial-crime risk for digital lending channels reported. The scale of losses adds urgency to deploying advanced detection and identity-verification tools.
Nasdaq Verafin’s 2026 Global Financial Crime Report, developed with Celent and Oliver Wyman documented), combined a proprietary modeling effort with a survey of more than 500 financial-crime professionals to benchmark trends between 2023 and 2025 reported). The study breaks out losses by category, showing scam-related losses at $62.0 billion reported) (a 19.3% two‑year growth), technology‑assisted schemes at $14.3 billion reported) (up 19.6%), and the portion of impact absorbed by banks rising to $517.4 billion reported) (an 8.2% increase). The report found 90% of surveyed financial‑crime professionals observed an increase in AI‑driven attacks over the past two years noted), and independent analysis flagged synthetic identities and deepfakes as primary drivers of automation and scale in those attacks detailed). Nasdaq Verafin said it will catalyze private‑sector collaboration with the UN Office on Drugs and Crime in response to these trends announced) and has signalled an industry summit planned for October 2026 to coordinate defenses previewed); the report also documents increased use of law‑enforcement referrals and peer information‑sharing by financial institutions as immediate mitigation steps outlined).
