Case Study: Fortune 500 Business Services Company achieves $51M+ in avoided losses and uncovers 35% more fraud with Verint Adaptive Fraud (Verint Systems)

Adaptive Fraud Prevention Saves Client Millions in Potential Losses

A Fortune 500 business‑services firm that administers a federal benefits program via prepaid debit cards faced escalating contact‑center fraud: thousands of accounts were being accessed each month, PINs were stolen in hundreds of cases, and conventional controls were failing to catch evolving, sophisticated attacks—putting millions of dollars at risk across a program that disburses billions annually.

The company deployed Verint Adaptive Fraud, a cloud-based, machine‑learning solution that analyzes 60+ behavioral IVR parameters and flags suspicious callers upstream before they reach agents. The system enabled real‑time alerts and retrospective analytics, uncovering 35% more fraud than previously known, avoiding more than $51 million in losses to date, and saving roughly $10 million each year since implementation.