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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&CK™ 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

MITRE evaluations

Based on the ATT&CK™ knowledge base, MITRE has performed a set of evaluations over endpoint cybersecurity vendors' products and continues to release its results for public consumption. This way, consumers can evaluate the capabilities of those security products to actually detect known adversarial behavior.

These evaluations are done not across the whole ATT&CK Matrix, but focusing on certain adversary groups. So far, MITRE has released evaluations for APT3, APT29, Carbanak+FIN7, and TRITON. You can view the results for round 2 of the APT29 evaluations by vendor on a Kibana dashboard prepared by the Elastic team: https://ela.st/mitre-eval-rd2. For a more detailed explanation of the results, you can check out the following article that the Elastic team wrote about it: https://www.elastic.co/blog/visualizing-mitre-round-2-evaluation-results-Kibana?blade=securitysolutionfeed.

Nevertheless, as with any adversary emulation, it has some limitations...

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