Written by
Chen Zamir
When a fraud system blocks a legitimate customer, the signal goes dark: the complaint dies in a support ticket and never becomes a labeled event that feeds a model or a dashboard. False positives are hidden by design, which is exactly what makes them so hard to fix.
This guide gives fraud leaders and operations teams a four-part working framework for surfacing them, tracing them to root cause, remediating the specific components responsible, and building an override layer above the entire stack. Inside, you'll find:
- Five triangulation methods for measuring what your system hides, from rule simulation to 1% control groups
- A seven-step root cause process that attributes every false positive to a specific rule, model, reviewer, or upstream partner
- The mirror image method for building exclusions that release good users without releasing fraud
- Four families of override heuristics strong enough to reverse an automated decline, from known good users to geographic chains
- A shadow-to-ramp deployment plan for rolling out override logic without opening the door to fraud
Download now and get all the insights.
Topics
Fraud
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