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  1. Home
  2. /
  3. QRadar User Behavior Analytics
Logo of QRadar User Behavior Analytics

QRadar User Behavior Analytics

byIBM
in Insider Risk Management Solutions
4.2

Overview

Product Information on QRadar User Behavior Analytics

Updated 13th October 2025

What is QRadar User Behavior Analytics?

QRadar User Behavior Analytics is a software designed to monitor and analyze user activity within an organization’s IT environment. The software leverages machine learning algorithms to detect unusual patterns and behaviors that may indicate security threats or policy violations. It provides insights into user actions by aggregating log data and contextual information from multiple sources. QRadar User Behavior Analytics helps organizations identify potential insider threats, compromised accounts, and misuse of credentials by correlating anomalies with predefined risk indicators. The software integrates with existing security information and event management systems to enhance incident detection and response, improving visibility into user behaviors across networks and applications.

QRadar User Behavior Analytics Pricing

QRadar User Behavior Analytics software typically follows a subscription-based pricing model, structured by user or data volume tiers. Pricing may vary depending on deployment options such as cloud or on-premises. The software often allows organizations to select plans based on their monitoring and analytics requirements, with licensing dependent on the number of users or events analyzed.

Overall experience with QRadar User Behavior Analytics

SECURITY MANAGER
50M - 250M USD, Insurance (except health)
FAVORABLE

“Correlation Capabilities Noted Alongside Concerns About Memory and Dashboard Usability”

4.0
Sep 24, 2025
It is one of the best user behaviour analytics tool based on user risk score calculation
Engineering Manager
50M - 250M USD, Banking
CRITICAL

“Product Integration Is Seamless, but Graphical User Interface Needs Improvement”

3.0
Jun 23, 2025
The integration of the product into the existing infrastructure was easy, server and user details contain good information, and the Graphical user interface can be improved.

About Company

Company Description

Updated 15th January 2024

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

Updated 15th January 2024
Company type
Public
Year Founded
1911
Head office location
Armonk, New York, United States
Number of employees
10001+
Annual Revenue
30B+ USD
Website
http://www.ibm.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Reviewer Insights for: QRadar User Behavior Analytics
Deciding Factors: QRadar User Behavior Analytics Vs. Market Average
Performance of QRadar User Behavior Analytics Across Market Features

QRadar User Behavior Analytics Likes & Dislikes

Like

Risk score, correlation with other rules

Like

The information it provides for the users activity. And the fact that we can go back in time to review user acitivities and what they did on the network and on the servers.

Like

1. Easy to deploy 2. Great dashboard that provides high-level view of risky behavior 3. Easy to use

Dislike

extra module needed extra cpu memory, generating general risk score, non user firendly dashboard

Dislike

The graphical user interface can be improved. The machine learning activity distribution graph is not showing any user details for the day after upgrading.

Dislike

There isn't any option to add the custom or user-defined rules or queries.

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Peer Discussions

QRadar User Behavior Analytics Reviews and Ratings

4.2

(46 Ratings)

Rating Distribution

5 Star
33%
4 Star
54%
3 Star
11%
2 Star
2%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.3

Integration & Deployment

4.4

Service & Support

4.1

Product Capabilities

4.3

Filter Reviews
Sort By:
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Star Rating
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  • SECURITY MANAGER
    50M-1B USD
    Insurance (except health)
    Review Source

    Correlation Capabilities Noted Alongside Concerns About Memory and Dashboard Usability

    4.0
    Sep 24, 2025
    It is one of the best user behaviour analytics tool based on user risk score calculation
  • RESEARCH AND DEVELOPMENT ASSOCIATE
    10B+ USD
    Manufacturing
    Review Source

    Powerful UEBA Capabilities But Lacking Customization

    4.0
    Feb 9, 2026
    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.
  • CLOUD SERVICES MANAGER
    <50M USD
    IT Services
    Review Source

    Advanced Anomaly Detection Offers Precision Despite Challenging Implementation Process

    4.0
    Jul 1, 2025
    Robust framework for discerning nuanced deviations in user behaviour. It requires, however, a deep dive into its complexities.
  • Engineering Manager
    50M-1B USD
    Banking
    Review Source

    Product Integration Is Seamless, but Graphical User Interface Needs Improvement

    3.0
    Jun 23, 2025
    The integration of the product into the existing infrastructure was easy, server and user details contain good information, and the Graphical user interface can be improved.
  • Information Technology Project Manager
    50M-1B USD
    Services (non-Government)
    Review Source

    Examining Three Years of QRadar UBA for Threat Detection and Security Enhancement

    4.0
    Jun 3, 2025
    It has been nearly three years now since I implemented QRadar User Behavior Analytics. QRadar UBA offers tools that detect threats and compromised accounts, such as unusual login attempts and unauthorized account access patterns.
...
Showing Result 1-5 of 54

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