Deciding Between a Rules Engine and a Machine Learning Workflow for Trust Scoring
If you are building a trust scoring system today — whether for fraud, spam, or content moderation — you will eventually face a fork in the road. One path is a rules engine : explicit if-then logic, easy to audit, easy to tweak at 3 a.m. when a new scam pattern appears. The other is a machine learning workflow : probabilistic, adaptive, capable of catching things no human could codify. Both are valid. Both have strong opinions behind them. But the choice is not just technical — it is organizational, ethical, and financial. This article walks the fork from both sides. No sales pitch. No one-size-fits-all answer. Just the concrete trade-offs, the hidden costs, and the questions you should ask before your team builds the next scoring pipeline.