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The User Behavior Analytics for QRadar (UBA) app is a tool for detecting insider threats in your organization. It is built on top of the app framework to use existing data in your QRadar to generate new insights around users and risk. UBA adds two major functions to QRadar: risk profiling and unified user identities.
Risk profiling is done by assigning risk to different security use cases. Examples might include simple rules and checks such as bad websites, or more advanced stateful analytics that use machine learning. Risk is assigned to each one depending on the severity and reliability of the incident detected. UBA uses existing event and flow data in your QRadar system to generate these insights and profile risks of users.
IBM QRadar User Behavior Analytics is ranked 7th in User Behavior Analytics - UEBA with 10 reviews while Microsoft ATA [EOL] is ranked unranked in User Behavior Analytics - UEBA. IBM QRadar User Behavior Analytics is rated 7.2, while Microsoft ATA [EOL] is rated 0.0. The top reviewer of IBM QRadar User Behavior Analytics writes "It has good support and works with Linux platforms". On the other hand, IBM QRadar User Behavior Analytics is most compared with Splunk User Behavior Analytics, Securonix UEBA, Microsoft Defender for Identity, Cynet and Exabeam Fusion SIEM, whereas Microsoft ATA [EOL] is most compared with .
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