Abstract: The present disclosure relates to using signatures in a data loss prevention system. According to one embodiment, a DLP system identifies an occurrence of a data loss prevention (DLP) incident triggered by content and a DLP rule. The DLP system generates a first signature representing the DLP incident based on a specific pattern inherent to the content which triggered the DLP incident. The DLP system compares the first signature to one or more second signatures generated from other DLP incidents associated with the DLP rule. Upon determining the first signature matches at least one of the second signatures, the DLP system assigns an event status of the second matching signature to the first signature.

Abstract: The disclosed computer-implemented method for optimizing data loss prevention (DLP) systems may include (1) monitoring data distributed via at least one data-distribution channel, (2) detecting, by analyzing the distributed data, a plurality of partial violations of a set of DLP policies, (3) determining, based on a correlation between the plurality of partial violations, that the plurality of partial violations suggest a previously undetected DLP threat, and (4) formulating an adjustment to apply to the set of DLP policies to enable the set of DLP policies to detect the DLP threat in the future. Various other methods, systems, and computer-readable media are also disclosed.