How to Reduce False Positives in Data Leak Detection | UpGuard

This article explains why false positives occur in data leak detection—primarily due to simplistic pattern-matching and deliberate decoy leaks by adversaries—and how they can erode response effectiveness through alert fatigue. It recommends a workflow that combines AI-assisted surface/dark web discovery with human analyst contextual validation to filter alerts, prioritize true positives, and guide remediation. The piece concludes by outlining UpGuard’s managed service that operationalizes this approach to improve accuracy and efficiency.