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TDS_BQ610G QRadar UBA: Detecting Insider Threats

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.Virtual Learning
This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Kontakt oss: Kurs@sgpartner.no

Kurskode: TDS_BQ610G Kategori , , Tag Merke:

COURSE 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.

 

TARGET AUDIENCE:
Security Analyst

COURSE PREREQUISITES:
Not available. Please contact.

COURSE CONTENT:
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

FOLLOW ON COURSES:
Not available. Please contact.

Tilleggsinformasjon

Varighet

1 dag(er)

Sted

Virtuelt (90% av våre virtuelle kurs blir tatt opp)

Språk

Engelsk/norsk kursmateriell , englesk/norsk kursholder

Dato

07.11.2025 – 1 dag(er) – Virtuelt -, 07.11.2025 – 1 dag(er) – Virtuelt

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