Part 6: AI Platform — Real-Time Fraud Detection & Enterprise LLM Hub

Previous Chapter: Part 5 — Campaign Architecture: Surviving the 10-Billion Yen Surge | Series Hub Answer-first: PayPay enforces sub-10ms real-time fraud detection and sovereign generative AI by pairing Feast feature stores on Redis Cluster with Triton Inference Server running quantized ONNX models over gRPC. Sensitive data is protected via an Enterprise LLM Gateway enforcing PII redaction and semantic caching, delivering ultra-low fraud loss rates while maintaining strict compliance with Japan APPI regulatory mandates. ...

Part 7: Streaming Fraud Detection: Go 1.25 Engine, Flink CEP & RocksDB

Series Navigation: This is Part 7 of the Core Banking Systems Architecture Masterclass. ← Previous: Part 6 — FAPI 2.0 Security | Master Curriculum Hub | Next: Part 8 — QA & SDET Testing Handbook → | Core Banking Hub | Alipay High-Concurrency Architecture Part 7: Streaming Fraud Detection: Go 1.25 Engine, Flink CEP & RocksDB Answer-first: Modern core banking fraud systems deploy a dual-layer defense topology: an inline Go wire micro-engine evaluating lock-free sliding velocity windows under 2 milliseconds directly in payment authorization, paired with an asynchronous Apache Flink CEP cluster backed by RocksDB state for multi-week behavioral mining. This architecture intercepts account takeover and money mule routing inline before funds settle across instant clearing rails. ...