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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

Exploring protocols and DSMs

There are two factors we need to consider when integrating event data in QRadar:

  • How to transfer data from end devices to QRadar
  • How to parse or make sense of data that is received

Let’s look at each of these considerations in detail.

How to transfer data from applications to QRadar

Different applications can be installed and run on different platforms or operating systems. For example, while some applications could be on a Windows machine on a bare-metal server, other applications could be running on the AWS cloud or some security appliance, such as a Ciscofirewall deployed in your organization.

All these endpoints are known as log sources, as we receive log data from them. As the log sources are on different platforms, they might also use different technologies and ways to log the data. For example, the AWS log sources can use something such as a S3 bucket, while a Linux security log would be saved on the same Linux...

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