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Practical Threat Intelligence and Data-Driven Threat Hunting

You're reading from   Practical Threat Intelligence and Data-Driven Threat Hunting A hands-on guide to threat hunting with the ATT&CKâ„¢ Framework and open source tools

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781838556372
Length 398 pages
Edition 1st Edition
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Author (1):
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Valentina Costa-Gazcón Valentina Costa-Gazcón
Author Profile Icon Valentina Costa-Gazcón
Valentina Costa-Gazcón
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Toc

Table of Contents (21) Chapters Close

Preface 1. Section 1: Cyber Threat Intelligence
2. Chapter 1: What Is Cyber Threat Intelligence? FREE CHAPTER 3. Chapter 2: What Is Threat Hunting? 4. Chapter 3: Where Does the Data Come From? 5. Section 2: Understanding the Adversary
6. Chapter 4: Mapping the Adversary 7. Chapter 5: Working with Data 8. Chapter 6: Emulating the Adversary 9. Section 3: Working with a Research Environment
10. Chapter 7: Creating a Research Environment 11. Chapter 8: How to Query the Data 12. Chapter 9: Hunting for the Adversary 13. Chapter 10: Importance of Documenting and Automating the Process 14. Section 4: Communicating to Succeed
15. Chapter 11: Assessing Data Quality 16. Chapter 12: Understanding the Output 17. Chapter 13: Defining Good Metrics to Track Success 18. Chapter 14: Engaging the Response Team and Communicating the Result to Executives 19. Other Books You May Enjoy Appendix – The State of the Hunt

Chapter 11: Assessing Data Quality

In this chapter, we are going to cover the importance of having a good data management process and the consequences that lacking one has for our hunts. We are going to go over several tools that can help us to refine the quality of our data. Improving the quality of our data will have a direct impact on the quality of our hunts and our detections.

In this chapter, we're going to cover the following main topics:

  • Distinguishing good-quality data from bad-quality data
  • Improving data quality
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