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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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Table of Contents (16) Chapters Close

Preface 1. Part 1: Automating Detection Inputs and Deployments FREE CHAPTER
2. Chapter 1: Detection as Code Architecture and Lifecycle 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

Summary

In this chapter, we’ve learned how to create and manage entire CI/CD pipelines for version control and rapid deployment for leveraging Detection-as-Code concepts. We used tools including GitHub, Terraform, AWS IAM, Amazon S3, and Python to improve our efficiency and use best practices for security.

Throughout our labs, we covered a wide variety of security solutions that can leverage our pipelines, including SIEMs, EDRs, WAFs, RASPs, and CSPMs.

Finally, we were able to mix and match different CI patterns and consider notification options depending on the needs of the given organization. In the upcoming chapter, we continue our “shift left” approach to bolster our detection development experience.

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