Detecting ₹180Cr+ in Fraud with AI Transaction Monitoring

!The Challenge

FinSecure's manual fraud review system was flagging 2.3% false positives, causing significant customer friction, and missing sophisticated fraud patterns in real-time transaction streams of 2 million daily transactions.

→Our Solution

We built an ensemble ML fraud detection system combining gradient boosting, graph neural networks (for detecting fraud rings), and an anomaly detection layer. The system processes transactions in under 50ms, adapts to new fraud patterns, and provides explainable decisions for the compliance team.

Technology Stack