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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

Extending dashboard use cases

With our metrics selected, we can continue implementing new features using data from our detection health dashboards. For enterprises that have a SOAR solution, we can leverage the integration functionalities to extend into response actions. Some examples include disabling correlation searches that are impacting the health of other running SIEM rules or even automatically adjusting rules to acceptable criteria under heavy platform load. Even if your team does not have access to a SOAR, there are still opportunities for automating responses dependent on your detection health or performance with our existing resources:

Example Automation

SOAR Alternative Instrumentation

Disabling excessively alerting rules

Use a CI/CD pipeline to read the CSV of dashboard metrics and leverage an API with GitHub Actions to disable correlation rules...

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