Overview
Product Information on QRadar User Behavior Analytics
Updated 13th October 2025
What is QRadar User Behavior Analytics?
QRadar User Behavior Analytics Pricing
Overall experience with QRadar User Behavior Analytics
MANAGER
50M - 250M USD, BankingFAVORABLE
“Challenges in User Mapping and Alerts During UBA Configuration”
A great security tool, QRadar's UBA allows you to map and learn the behavior of users on your network. It can identify the standard time a user logs in, which machine and network they use, and what activities and systems they access. This allows for in-depth monitoring and facilitates the identification of pattern deviations, enabling the detection of attempts at lateral movement and even compromised accounts.
Engineering Manager
<50M USD, IT ServicesCRITICAL
“Useful machine learning models but limited by lack of reporting”
The product performs quite well; it has several machine learning models that help with detection. However, I think it's very limited in some cases; it doesn't allow for report generation, and they should include the Entity section to make it more robust.
About Company
Company Description
IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.
Company Details
Company type
Public
Year Founded
1911
Head office location
Armonk, New York, United States
Number of employees
10001+
Annual Revenue
30B+ USD
Website
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- MANAGER50M-1B USDBankingReview Source
Challenges in User Mapping and Alerts During UBA Configuration
A great security tool, QRadar's UBA allows you to map and learn the behavior of users on your network. It can identify the standard time a user logs in, which machine and network they use, and what activities and systems they access. This allows for in-depth monitoring and facilitates the identification of pattern deviations, enabling the detection of attempts at lateral movement and even compromised accounts. - RESEARCH AND DEVELOPMENT ASSOCIATE10B+ USDManufacturingReview Source
Powerful UEBA Capabilities But Lacking Customization
The application integrates well with an instance and provides meaningful insight to user & entity behavior. However, it would be helpful if it had an option to finetune it based on user's requirements. Also, more options can be added to identify anomalies in user behavior. - SECURITY MANAGER50M-1B USDInsurance (except health)Review Source
Correlation Capabilities Noted Alongside Concerns About Memory and Dashboard Usability
It is one of the best user behaviour analytics tool based on user risk score calculation - Engineering Manager<50M USDIT ServicesReview Source
Useful machine learning models but limited by lack of reporting
The product performs quite well; it has several machine learning models that help with detection. However, I think it's very limited in some cases; it doesn't allow for report generation, and they should include the Entity section to make it more robust. - CLOUD SERVICES MANAGER<50M USDIT ServicesReview Source
Advanced Anomaly Detection Offers Precision Despite Challenging Implementation Process
Robust framework for discerning nuanced deviations in user behaviour. It requires, however, a deep dive into its complexities.
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