Today's global enterprise security programs grapple with constantly evolving threats. Even though the industry has released abundant security tools, most of which are equipped with APIs for integrations, they lack a rapid detection development work stream. This book arms you with the skills you need to automate the development, testing, and monitoring of detection-based use cases.
You’ll start with the technical architecture, exploring where automation is conducive throughout the detection use case lifecycle. With the help of hands-on labs, you’ll learn how to utilize threat-informed defense artifacts and then progress to creating advanced AI-powered CI/CD pipelines to bolster your Detection as Code practices. Along the way, you'll develop custom code for EDRs, WAFs, SIEMs, CSPMs, RASPs, and NIDS. The book will also guide you in developing KPIs for program monitoring and cover collaboration mechanisms to operate the team with DevSecOps principles. Finally, you'll be able to customize a Detection as Code program that fits your organization's needs.
By the end of the book, you'll have gained the expertise to automate nearly the entire use case development lifecycle for any enterprise.

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Spis treści

Automating Security Detection Engineering. A hands-on guide to implementing Detection as Code eBook -- spis treści

• 1. Detection as Code Architecture and Lifecycle
• 2. Scoping and Automating Threat-Informed Defense Inputs
• 3. Developing Core CI/CD Pipeline Functions
• 4. Leveraging AI for Use Case Development
• 5. Implementing Logical Unit Tests
• 6. Creating Integration Tests
• 7. Leveraging AI for Testing
• 8. Monitoring Detection Health
• 9. Measuring Program Efficiency
• 10. Operating Patterns by Maturity