Building a Spam/Fraud Detection System From Rules to ML in 2026
A comprehensive engineering guide to scaling fraud and abuse prevention. We analyze deterministic velocity heuristics, Redis sliding-window leaky buckets, real-time feature stores, XGBoost risk scoring models, and hybrid decision engines processing 100,000 requests per second.
8/6/202624 min read