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Automating Security Detection Engineering

You're reading from   Automating Security Detection Engineering A hands-on guide to implementing Detection as Code

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781837636419
Length 252 pages
Edition 1st Edition
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Author (1):
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Dennis Chow Dennis Chow
Author Profile Icon Dennis Chow
Dennis Chow
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Automating Detection Inputs and Deployments
2. Chapter 1: Detection as Code Architecture and Lifecycle FREE CHAPTER 3. Chapter 2: Scoping and Automating Threat-Informed Defense Inputs 4. Chapter 3: Developing Core CI/CD Pipeline Functions 5. Chapter 4: Leveraging AI for Use Case Development 6. Part 2: Automating Validations within CI/CD Pipelines
7. Chapter 5: Implementing Logical Unit Tests 8. Chapter 6: Creating Integration Tests 9. Chapter 7: Leveraging AI for Testing 10. Part 3: Monitoring Program Effectiveness
11. Chapter 8: Monitoring Detection Health 12. Chapter 9: Measuring Program Efficiency 13. Chapter 10: Operating Patterns by Maturity 14. Index 15. Other Books You May Enjoy

Measuring use case performance

Throughout this book, we’ve deployed custom detections for multiple security technology stacks, including CSPM, EDR, NIDS, SIEMs, and RASPs. Different technologies in detection telemetry can generally be broken down into two categories: upstream of the SIEM and downstream at the SIEM.

There are a few key pieces of information that we need to capture to properly monitor our deployed use cases regardless of type:

  • How often the detection has fired recently
  • Runtime duration and load on security tooling
  • SOC analyst’s analysis disposition of our alerts

While use case performance can also be affected by external factors, such as system resource capacity or event or log ingestion changes, we can generally expect recent use cases to work for a finite amount of time. If our underlying platforms are not in a healthy state, that should be corrected first before attempting to capture metrics for unit-level detections.

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