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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

Automating LLM interactions

The WebUI is not the only interface we can use to interact with LLMs. During the labs in this chapter, if you entered the same prompt twice, you may have received a different response, or if you turned up the temperature values, there might have been some more interesting use case recommendations. The detection engineering team is likely to utilize multiple websites from researchers beyond the SOC Prime marketplace.

Let’s say we have an RSS feed that monitors multiple security news outlets, and we want to monitor keywords such as exploits, vulnerabilities, and zero-days. We use filtering of those words to increase the likelihood that the site will have TTPs that include IOCs or the payload that we need for detections. We also need to capture only fresh news sources, such as from the last 24 hours.

We can write automations to iterate for the links and keywords needed, and then use them as iterative input for either our chatbot or another public...

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