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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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Toc

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

QRadar Searches

If you ever take a philosophical view on the technical aspect of Security Information and Event Management (SIEM), a fleeting thought is that SIEM is nothing but a very advanced search. Everything else is built to collect data, run correlation, run analytics, and then display the search in a better way. That is kind of true.

What we have learned and discussed so far is the way QRadar is deployed, its different components, how data is ingested, and so on. Now, we will start with using the ingested data to make sense of it. QRadar search is the most fundamental feature of QRadar. In this chapter, we will discuss QRadar searches and how we can optimize them and use them to the best that they can offer.

The following topics will be covered in this chapter:

  • How do searches work?
  • QRadar services involved in searches
  • Different types of QRadar searches
  • Concept of data accumulation
  • Different ways to tune QRadar searches
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