The complexity of managing enterprise-level file permissions makes it increasingly difficult for security teams to keep track of who has access to what.
In this report, Imperva researchers compare the traditional ‘static’ approach to file security with a more dynamic approach based on how users actually access files in the organization.
Using the Dynamic Peer Group Analysis machine learning algorithm, virtual working peer groups are automatically identified and suspicious files accessed by unauthorized users can be immediately detected.
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