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Automating Security Detection Engineering

Automating Security Detection Engineering

By : Dennis Chow
4.6 (11)
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Automating Security Detection Engineering

Automating Security Detection Engineering

4.6 (11)
By: Dennis Chow

Overview of this book

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.
Table of Contents (16 chapters)
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1
Part 1: Automating Detection Inputs and Deployments
6
Part 2: Automating Validations within CI/CD Pipelines
10
Part 3: Monitoring Program Effectiveness

Detection as Code Architecture and Lifecycle

Welcome to the courseware, where we dive deep into various aspects of automation surrounding detection engineering. Throughout various sections of this book, we’ll be putting concepts to use with follow-along labs and exercises recommended for solidifying and applying knowledge as you progress. In addition, we’ll have spotlights from industry-leading experts who provide supplemental insights that align with the practices that you will encounter.

Detection engineering operations are relied on to create robust detection use cases at scale. As the business grows, the requirements for new detections also grow and it becomes difficult to scale without continued automation. As practitioners, we need to build mechanisms that optimize consistency in detection development.

This chapter focuses on understanding the key elements of maturing a detection engineering program for developing use cases and leveraging automation. We&...

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Automating Security Detection Engineering
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