Automating Security Detection Engineering

Automating Security Detection Engineering

Automating Security Detection Engineering

Accelerate security detection development with AI-enabled technical solutions using threat-informed defense Key Features Create automated CI/CD pipelines for testing and implementing threat detection use cases Apply implementation strategies to optimize the adoption of automated work streams Use a variety of enterprise-grade tools and APIs to bolster your detection program Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionToday'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.What you will learn Understand the architecture of Detection as Code implementations Develop custom test functions using Python and Terraform Leverage common tools like GitHub and Python 3.x to create detection-focused CI/CD pipelines Integrate cutting-edge technology and operational patterns to further refine program efficacy Apply monitoring techniques to continuously assess use case health Create, structure, and commit detections to a code repository Who this book is for This book is for security engineers and analysts responsible for the day-to-day tasks of developing and implementing new detections at scale. If you’re working with existing programs focused on threat detection, you’ll also find this book helpful. Prior knowledge of DevSecOps, hands-on experience with any programming or scripting languages, and familiarity with common security practices and tools are recommended for an optimal learning experience.

Security Automation with Python

Automate vulnerability scanning, network monitoring, and web application security using Python scripts, while exploring real-world case studies and emerging trends like AI and ML in security automation Key Features Gain future-focused insights into using machine learning and AI for automating threat detection and response Get a thorough understanding of Python essentials, tailored for security professionals Discover real-world applications of Python automation for enhanced security Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDesigned to address the most common pain point for security teams—scalability—Security Automation with Python leverages the author’s years of experience in vulnerability management to provide you with actionable guidance on automating security workflows to streamline your operations and improve your organization’s overall security posture. What makes this book stand out is its hands-on approach. You won’t just learn theoretical concepts—you’ll apply Python-based automation techniques directly to real-world scenarios. Whether you're automating vulnerability scans, managing firewall rules, or responding to security incidents, this book provides clear examples and use cases, breaking down complex topics into easily digestible steps. With libraries like Paramiko, Requests, and PyAutoGUI, you’ll automate everything from network scanning and threat intelligence gathering to system patching and alert management. Plus, this book focuses heavily on practical tips for error handling, scaling automation workflows, and integrating Python scripts into larger security infrastructures. By the end of this book, you'll have developed a set of highly valuable skills, from creating custom automation scripts to deploying them in production environments, and completed projects that can be immediately put to use in your organization.What you will learn Use Python libraries to automate vulnerability scans and generate detailed reports Integrate Python with security tools like Nessus to streamline SecOps Write custom Python scripts to perform security-related tasks Automate patch management to reduce the risk of security breaches Enhance threat intelligence gathering and improve your proactive defense strategies Scale security automation workflows for large environments Implement best practices for error handling, logging, and optimizing workflows Incorporate automation into security frameworks like NIST 800-53 and FedRAMP Who this book is for This book is for cybersecurity professionals, security analysts, system administrators, and developers looking to leverage Python to automate and enhance their security operations. Whether you're new to Python or experienced in scripting, the book provides practical examples, real-world case studies, and future-focused insights into security automation trends.