#Rules Engines

Articles about Rules Engines — exploring patterns, best practices, and real-world implementations in production systems.

1 post tagged with rules engines. ← Blog home

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Pratik Dhanave · ·4 min read

Rules and Models — Why Fraud Systems Need Both

Every few years someone declares rules dead — just let the model learn everything — and every production fraud team quietly keeps both, because rules and models are good at different, complementary things: rules deploy in minutes against the attack happening right now, encode hard policy exactly, and explain themselves completely; models find the subtle multidimensional patterns no human would write down. The engineering question isn't which — it's how the two compose into one decision.

Rules deploy in minutes against live attacks, encode policy exactly, explain themselves completely, and hold the blind spots; models (GBDTs as the tabular workhorse) own the unstateable patterns. Composition makes them one decision: policy first, scores next, cost-thresholded logic last — versioned and golden-tested.

#Fraud Detection#Rules Engines#Machine Learning#Risk

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse the blog or explore related topics using the tag cloud above.