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How to Reduce False Positives in Data Leak Detection - UpGuard | UpGuard

According to ahttps://www.upguard.com/resources/research-report-public-documents-used-for-attack-reconnaissance, over 51% of analyzed Fortune 500 companies were unknowingly leaking sensitive metadata in public documents - https://www.upguard.com/blog/data-leak that could be very useful in a reconnaissance campaign preceding a major https://www.upguard.com/blog/data-breach. To learn how to reduce data leaks, false positives, and improve the efficiency of your https://www.upguard.com/blog/how-to-detect-and-prevent-data-leakage efforts, read on.

In the context of data leaks, a false positive is a false detection that triggers a fraudulent alert of exposed sensitive data.

Data leak detection tools trigger alerts by comparing surface and https://www.upguard.com/blog/dark-web scans against a database of monitored keywords.

Advanced threats, aware of how vulnerable pattern recognition mechanisms are to triggering false positives, purposely create fraudulent data dumps likely to trigger fraudulent data leak alerts.