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Practical Threat Detection Engineering

You're reading from   Practical Threat Detection Engineering A hands-on guide to planning, developing, and validating detection capabilities

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781801076715
Length 328 pages
Edition 1st Edition
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Authors (3):
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Megan Roddie Megan Roddie
Author Profile Icon Megan Roddie
Megan Roddie
Jason Deyalsingh Jason Deyalsingh
Author Profile Icon Jason Deyalsingh
Jason Deyalsingh
Gary J. Katz Gary J. Katz
Author Profile Icon Gary J. Katz
Gary J. Katz
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1: Introduction to Detection Engineering
2. Chapter 1: Fundamentals of Detection Engineering FREE CHAPTER 3. Chapter 2: The Detection Engineering Life Cycle 4. Chapter 3: Building a Detection Engineering Test Lab 5. Part 2: Detection Creation
6. Chapter 4: Detection Data Sources 7. Chapter 5: Investigating Detection Requirements 8. Chapter 6: Developing Detections Using Indicators of Compromise 9. Chapter 7: Developing Detections Using Behavioral Indicators 10. Chapter 8: Documentation and Detection Pipelines 11. Part 3: Detection Validation
12. Chapter 9: Detection Validation 13. Chapter 10: Leveraging Threat Intelligence 14. Part 4: Metrics and Management
15. Chapter 11: Performance Management 16. Part 5: Detection Engineering as a Career
17. Chapter 12: Career Guidance for Detection Engineers 18. Index 19. Other Books You May Enjoy

Simulating adversary activity

For our detection lab, we may not have a red team readily available, but we still need to track how well our detections respond to realistic threat actor techniques. Fortunately, there are some free and publicly-available breach and attack simulation (BAS) resources we can use to emulate adversary behavior. We cover some noteworthy, freely available options in this section.

An important note on impairing security tools

Some validation tools and techniques can get blocked by different security controls, which is normally a good thing. However, this might prevent the validation exercise from being run as required. A preventative control on an endpoint can in some cases limit our ability to validate detective controls.

For example, consider the scenario where we need to validate detections for the creation of the log file associated with executing the mimikatz misc::memssp module. If we run mimikatz, but it immediately gets blocked and removed by...

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