fraud prevention
Model Context Protocol (MCP) Fraud Prevention: A Case Study on Protocol-Enforced Anomaly Detection
Project Overview The Model Context Protocol (MCP) Fraud Prevention project was designed to combat sophisticated fraud in real-time by integrating machine learning (ML)-powered anomaly detection with protocol-enforced rules and API monitoring. The system targets industries with high transaction volumes—such as fintech, e-commerce, and banking—where traditional fraud detection