Real-Time Fraud Detection System
Fintech Client
1 The Challenge
A financial services company needed to detect fraudulent transactions in real-time before they were processed. Their existing rule-based system was missing sophisticated fraud patterns and generating too many false positives, causing legitimate transactions to be blocked.
2 Our Solution
We developed a reactive fraud detection system using Spring Boot with reactive programming (WebFlux) for high-throughput, non-blocking transaction processing. The system analyzes transaction patterns, user behavior, and risk scores in milliseconds, flagging suspicious activity before processing.
3 The Results
Sub-100ms transaction analysis time. Reduced false positives by 40%. Handles thousands of concurrent transactions. Real-time alerts for the fraud team. Seamless integration with existing payment infrastructure.
Screenshots
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