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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

Understanding data sources and telemetry

Covering all potential data sources in a corporate environment or even going into depth on each of the major ones is not feasible given the number of data sources present in an organization’s infrastructure. As such, this section will highlight the major data sources and provide a brief explanation of their relevance to detection engineering.

We are going to look at two different types of sources of data for detection engineering. The first is going to be raw telemetry. These are unprocessed logs that simply state an event occurred, without a determination on whether it is malicious or not. This is going to be our focus with detection engineering as we can use these raw events to identify malicious activity without relying on an existing security solution’s detection capabilities. The second type of data source that we’ll briefly discuss is security tooling. Data from security tooling primarily focuses on processed events...

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