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Practical Threat Detection Engineering

You're reading from  Practical Threat Detection Engineering

Product type Book
Published in Jul 2023
Publisher Packt
ISBN-13 9781801076715
Pages 328 pages
Edition 1st Edition
Languages
Authors (3):
Megan Roddie Megan Roddie
Profile icon Megan Roddie
Jason Deyalsingh Jason Deyalsingh
Profile icon Jason Deyalsingh
Gary J. Katz Gary J. Katz
Profile icon Gary J. Katz
View More author details

Table of Contents (20) Chapters

Preface 1. Part 1: Introduction to Detection Engineering
2. Chapter 1: Fundamentals of Detection Engineering 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

Understanding the validation process

The execution of cyber security validation is very similar to typical adversary simulation exercises. The emphasis, however, is on producing data that can be compared against a set of performance criteria defined for each defensive control. In broad terms, validation can be executed in three phases:

  1. Planning: This is easily the most important phase. During this phase, the objectives of the validation exercise are defined, along with the scope, timelines, and stakeholders. The specific defensive capabilities targeted for validation and the criteria for determining their effectiveness are rigidly defined during this phase. Each validation needs to be mapped to a specific defensive control or controls, expected outcomes, and criteria for measuring the performance of the control(s). It is important at this time to also understand the possible limitations of each validation. For example, an organization may want to test T1048: Exfiltration over...
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