The problem
Fraud rule management has traditionally been a collaboration bottleneck. Analysts identify a new fraud pattern. They write a specification. The specification goes into an engineering sprint. The rule gets built, tested, and deployed โ typically two to four weeks after the pattern was identified. By then, the attack has often evolved.
The cost of this latency is measurable. In our operator survey, the median time from identifying a new fraud pattern to deploying a countermeasure was 18 days. At the fraud rates we observed, that delay cost an average of โฌ340K per incident.
Visual builder
Serixo's Policy Engine visual builder allows analysts to build complex, multi-condition fraud rules using a drag-and-drop interface โ no code required. Rules can reference any signal in the Serixo feature store, combine conditions with AND/OR/NOT logic, set thresholds and velocity limits, and specify actions (allow, review, block, step-up, rate-limit) with different confidence levels.
"I built a rule in 20 minutes that would have taken our engineering team two weeks. And it was live before lunch."โ Senior Fraud Analyst, EU iGaming Operator
Testing
Every rule can be tested against historical data before deployment. The testing interface shows a preview of which accounts and transactions the rule would have affected over the selected time window, with precision, recall, and estimated revenue impact. Rules that would generate excessive false positives are flagged automatically before deployment.
Deployment
Deployment is instantaneous โ rules are compiled to our rule execution engine and active within seconds of the analyst clicking "Deploy". Rules can be scheduled (active only during specific hours or date ranges), sandboxed (active but not decisioning, for monitoring purposes), or immediately live. Full audit logs record every rule change with author, timestamp, and before/after state.
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