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Building a Next-Gen SOC with IBM QRadar

You're reading from   Building a Next-Gen SOC with IBM QRadar Accelerate your security operations and detect cyber threats effectively

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781801076029
Length 198 pages
Edition 1st Edition
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Author (1):
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Ashish Kothekar Ashish Kothekar
Author Profile Icon Ashish Kothekar
Ashish Kothekar
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Understanding Different QRadar Components and Architecture
2. Chapter 1: QRadar Components FREE CHAPTER 3. Chapter 2: How QRadar Components Fit Together 4. Chapter 3: Managing QRadar Deployments 5. Part 2: QRadar Features and Deployment
6. Chapter 4: Integrating Logs and Flows in QRadar 7. Chapter 5: Leaving No Data Behind 8. Chapter 6: QRadar Searches 9. Chapter 7: QRadar Rules and Offenses 10. Part 3: Understanding QRadar Apps, Extensions, and Their Deployment
11. Chapter 8: The Insider Threat – Detection and Mitigation 12. Chapter 9: Integrating AI into Threat Management 13. Chapter 10: Re-Designing User Experience 14. Chapter 11: WinCollect – the Agent for Windows 15. Chapter 12: Troubleshooting QRadar 16. Index 17. Other Books You May Enjoy

Integration with the ML app

The ML app brings with it capabilities of predictive modeling. This application requires intensive computation and works best when you use a separate App Host to host the applications. The ML app is installed after the UBA app is installed.

Important note

It is recommended that after you install UBA and configure it to import users, you install the ML app after at least 24 hours. This gives UBA enough time to create user profiles and assign risk scores.

The ML app has different models that it uses:

  • Individual (Numeric) user model: This model calculates a value for a user.
  • Individual (Observable) user model: This model calculates a set of attributes and their event counts.
  • Peer Group model: This model is used to build a set of attributes and event counts and alert if the deviation of the user is more for the defined peer group.What we mean by deviation is the deviation in the risk score of the user. This peer group could be all the...
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