#Fraud Detection

2 articles tagged with Fraud Detection

Graph Neural Networks (GNNs) in FinTech: Sub-Millisecond Anti-Money Laundering with PyG

A production financial engineering guide to Graph Neural Networks. We analyze Relational Graph Convolutional Networks (RGCN), neighborhood message-passing aggregation, dynamic temporal edge sampling, and detecting money laundering rings in sub-10ms transaction streams.

9/2/202624 min read

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