Fraud Detection: Why Your Rules Engine Has a Ceiling
This story is from 2026-10-08. It is preserved in the archive; the latest stories are on the live feed.
Rules-based fraud detection is fast to deploy and easy to explain. It also has a ceiling: fraudsters adapt to rules, false positive rates are hard to reduce, and new fraud patterns take time to codify. ML adds a measurable lift above that ceiling — here is what that looks like in practice. Most fin…
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- 2026-10-08 11:01 · DEV Community — Machine Learning
Fraud Detection: Why Your Rules Engine Has a Ceiling