QRadar UBA: Detecting Insider Threats
IBM Training for QRadar UBA: Detecting Insider Threats
Skill Level: Advanced
Modality: CR – Classroom based Training or ILO – Instructor Led Online Class
Duration: 1 Day/s
Starting Price: $ – Contact
Overview:
Grow your QRadar User Behavior Analytics skills, from installation to hands-on investigation, while exploring the Machine Learning add-on and the integration with Advisor with Watson.
Learn how to detect insider threats triggered by anomalous or malicious user behavior. Get ready to install, configure, and tune IBM Security® QRadar UBA and the Machine Learning app. Improve your skill to investigate user behavior with UBA and expand your threat detection capabilities across your network with the QRadar® Advisor with Watson™ app.
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Target Audience:
Security Analyst
Prerequisites:
Topic: Unit 1: Architecture and OverviewUnit 2: Setup Installation. Configuration. User Import. Machine Learning configurationUnit 3: TuningUnit 4: An overview to detecting and investigating insider threatsUnit 5: Student exercise
IBM Training
Objective: Analyze UBA concepts, such as the senseValue variable, risk scores, and the IBM Sense DSM.. Identify how QRadar rules are connected to UBA and how user information is imported into the app.. Install and configure the app, as well as the User Import tool and the the Machine Learning app.. Tune UBA settings to improve the application’s behavior and performance.. Analyze how UBA can help you detect and investigate insider threats.. Analyze how to use the UBA Dashboard.. Investigate how to detect malicious user behavior.
Category: Security
Product Name:
IBM Security QRadar SIEM
Badge and Certification Info:
Badge Title:
Badge ID: NONE
Brand: Threat Management
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Get the Best IBM Training from CRS. As an IBM Training Provider, we have partnered with IBM through Arrow ECS to deliver training that covers the full portfolio of IBM systems and software.
Authorized IBM Training
RedHat Training
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Agile SAFe Training
Cyber Security
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BQ610G;user behavior analytics; insider threats;architecture; install;configure;machine learning; ML;threat intelligence;risk;tune
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