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Cyber adversaries are getting more and more sophisticated and therefore it is best practice to apply multiple security layers when protecting against privileged access abuse. Today’s threatscape requires security controls to be adaptive to the risk-context and to use machine learning to carefully analyze a privileged user’s behavior. Leveraging Centrify Privilege Threat Analytics Service can make the difference between falling victim to a breach or stopping it in its tracks.
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.
Centrify Privilege Threat Analytics Service is ranked 32nd in User Behavior Analytics - UEBA while IBM QRadar User Behavior Analytics is ranked 13th in User Behavior Analytics - UEBA with 8 reviews. Centrify Privilege Threat Analytics Service is rated 0.0, while IBM QRadar User Behavior Analytics is rated 6.8. On the other hand, the top reviewer of IBM QRadar User Behavior Analytics writes "Stable and solid security intelligence but lacks some functionalities ". Centrify Privilege Threat Analytics Service is most compared with , whereas IBM QRadar User Behavior Analytics is most compared with Securonix UEBA, Cynet, Splunk User Behavior Analytics, LogRhythm Enterprise UEBA and Citrix Analytics.
See our list of best User Behavior Analytics - UEBA vendors.
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