June 2024
Intermediate to advanced
252 pages
6h 8m
English
Overview
In 'Automating Security Detection Engineering,' you will learn how to automate the detection use case lifecycle to enhance organizational security. This hands-on guide will teach you to integrate industry tools, create efficient CI/CD pipelines, and leverage cutting-edge automation techniques to scale detection using DevSecOps principles.
What this Book will help me do
- Automate threat detection pipelines using Python, Terraform, and other tools.
- Build AI-enhanced CI/CD workflows for scaling detection engineering.
- Optimize security program monitoring through key metrics and health assessments.
- Develop custom integrations and detections for enterprise-grade security systems.
- Gain insights into Detection as Code implementations tailored to your organization.
Author(s)
Dennis Chow is a seasoned expert in security detection engineering, with deep experience in developing and implementing advanced automated detection systems. He has worked extensively with tools and technologies pivotal to threat detection and prevention. Through his clear and organized writing, Dennis aims to provide actionable knowledge practitioners can directly apply to their roles.
Who is it for?
This book is perfect for security engineers or analysts tasked with developing scalable detections and managing security infrastructures. It is especially valuable for those familiar with programming and security operations seeking to automate processes. Readers interested in DevSecOps practices and advanced detection engineering will benefit greatly from this resource.
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