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.
Securonix User and Entity Behavior Analytics (UEBA) leverages sophisticated machine learning and behavior analytics to analyze and correlate interactions between users, systems, applications, IP addresses, and data. Light, nimble, and quick to deploy, Securonix UEBA detects advanced insider threats, cyber threats, fraud, cloud data compromise, and non-compliance. Built-in automated response playbooks and customizable case management work flows allow your security team to respond to threats quickly, accurately, and efficiently
IBM QRadar User Behavior Analytics is ranked 8th in User Behavior Analytics - UEBA with 8 reviews while Securonix UEBA is ranked 20th in User Behavior Analytics - UEBA. IBM QRadar User Behavior Analytics is rated 6.8, while Securonix UEBA is rated 0.0. The top reviewer of IBM QRadar User Behavior Analytics writes "Stable and solid security intelligence but lacks some functionalities ". On the other hand, IBM QRadar User Behavior Analytics is most compared with Splunk User Behavior Analytics, Cynet, LogRhythm Enterprise UEBA, Citrix Analytics and Exabeam Fusion SIEM, whereas Securonix UEBA is most compared with ArcSight Analytics, Rapid7 InsightIDR, ArcSight Interset / Intelligence and ManageEngine Log360.
See our list of best User Behavior Analytics - UEBA vendors.
We monitor all User Behavior Analytics - UEBA reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.