Catching fraud in milliseconds is table stakes. The harder requirement is explaining every decision to an analyst — and a regulator.
Modern fraud moves at machine speed, so detection has to as well. But in financial services, a model that can't explain why it flagged a transaction is a liability — analysts can't act on it and regulators won't accept it.
Speed and explainability aren't a trade-off
We pair fast scoring models with feature attributions and clear reason codes, so every alert arrives with the evidence behind it. Analysts triage ranked, explained cases instead of raw rule hits — and the same evidence satisfies audit and oversight.
A flag you can't explain is a flag you can't act on.