Case Study: Leading global financial institution achieves 5X more accurate fraud detection with Fraud.net Transaction AI (Customer: Leading Global Financial Institution; Solution Provider: Fraud.net)

Fraud.net - Customer Case Study

Fraud.net, acting as the customer, faced growing transaction fraud and AML challenges across channels including mobile, e‑commerce, card, transfers, loans and cryptocurrency, and needed real‑time, continuous monitoring that reduced false positives and operational burden. They engaged vendor Fraud.net and its Transaction AI™ service to provide scalable, cross‑channel fraud detection and case management.

Fraud.net deployed Transaction AI™, using collective intelligence, custom ML models, device fingerprinting and a real‑time API to deliver risk scores in under 300 ms and implementable in less than 30 days. Fraud.net’s solution produced measurable gains: 5× more accurate fraud detection, a 50% reduction in fraud case investigations, a 60% decrease in investigation time, and a smoother experience for 99+% of trusted customers.

Fraud.net

Marketing Team