Project Aegis: Real-Time Fraud Defense

The Challenge

Existing rule-based systems were producing too many false positives, frustrating customers, while sophisticated fraud rings were slipping through.

Our Solution

In the fast-paced world of digital banking, milliseconds matter. We built a real-time fraud detection engine for a leading neo-bank. The system processes thousands of transactions per second, analyzing behavioral patterns to detect and block fraudulent activities before they complete.

A hybrid model combining supervised learning (for known fraud patterns) and unsupervised anomaly detection (for new attack vectors).

Key Results