Open source AML and Fraud Detection using Machine Learning for Real-Time Transaction Monitoring

Welcome to an open-source transaction monitoring engine! This product is designed to simplify the definition and management of business rules while also offering a scalable infrastructure for rule execution and backtesting.

Blnk Watch is a domain-specific language (DSL) for creating real-time transaction monitoring rules. It enables you to define conditions and automated actions for detecting fraud, enforcing limits, and staying compliant. A Watch script is declarative: you describe what to detect and what action to take—the engine handles evaluation at runtime.

⚡ Real-time fraud & anomaly detection system for streaming transactions. Built with Kafka Streams + Isolation Forest ML. Low-latency processing, online learning, and scalable architecture for detecting fraud patterns in transaction data. 🚨🔍

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