Banks Use Agentic AI to Trace Stolen Payments Faster

Banks are now using agentic AI to trace stolen payments. This technology helps automate investigations after a payment has cleared. Real-time payments mean funds cannot be recalled once they leave an account. This creates a shrinking window for banks to address fraud. Last year, 40% of financial institutions lost more money to fraud, and 38% reported higher fraud volumes. Scams account for 23% of fraudulent transactions, with a 56% rise year-over-year. The share of dollars lost to scams increased by 121%. In the U.K., APP fraud losses rose 19% to 576.4 million pounds last year. Most of these cases started on online platforms. Nasdaq Verafin expanded its Agentic AI Workforce with new roles like an Agentic Fraud Analyst and an Agentic AML Analyst. These are designed to automate investigative tasks, such as triaging unusual ACH activity and focusing on cash structuring alerts. This new AI approach can cut down on manual casework and speed up tracing funds. However, it also increases the need for clear explanations, strong audit trails, and controls to limit autonomous actions. This matters because it shows how AI is changing the fight against financial fraud, but also highlights new challenges for banks.