Data Loss Detection Rule

Data Loss Detection Rule is a security security analytic that matches suspicious behavior or known indicators for sensitive data exposure risk. It uses logs, thresholds, signatures, and behavioral context so teams can surface actionable alerts while keeping evidence, reliability, and public-safe operational boundaries clear.

“The security team used Data Loss Detection Rule when a report included private metadata, so the team could surface actionable alerts before the risk review began.”