Preventive measures are no longer enough. Traditional securities are not going to be 100% foolproof, and hackers and attackers will get into your system at one point or another. Therefore, detection is equally important: when hackers do successfully get into your system.
User and entity behavior analytics (UEBA) technologies use advanced algorithms and machine learning on identifying patterns of user and device activity that are outside of the normal patterns of expected behavior in order to identify activity that could be suspicious or malicious.
UEBA are particularly useful for the detection of insider threats, advanced attacks that have gained a foothold on the network and malicious activity such as financial fraud by providing contextual information regarding what users are doing with network resources, applications and data.
Gartner’s definition includes three primary attributes of UEBA systems:
Follow these best practices to successfully implement a UEBA solution:
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