Inaccurate data classification is the Achilles’ heel of DLP.
Cyberhaven identifies and classifies all of your sensitive data based on provenance, creator, and substance of content for unmatched accuracy and precise policy enforcement.
Provenance-based classification overcomes the limitations of scanning for expression matches and covers 100% of your sensitive data.
Fully automated classification frees end users from the responsibility to manually classify data, leading to increased productivity.
No more misclassified or improper text matching, which are what create the most false positives in DLP alerts.