Detection and Response Pipeline
A compilation of suggested tools for each component in a detection and response pipeline, along with real-world examples. The purpose is to create a reference hub for designing effective threat detection and response pipelines. Join us, explore the curated content, and contribute to this collaborative effort. Main Components of a Detection & Response Pipeline: - Detection-as-Code Pipeline - Data Pipeline - Detection and Correlation Engine - Response Orchestration and Automation - Investigation and Case Management - Real-world Examples - Additional Resources Detection-as-Code Pipeline Tool / Service Purpose: - GitHub: Detection content development - GitLab: Detection content development - Gitea: Detection content development - AWS CodeCommit: Detection content development - GitHub Actions: CI/CD pipeline - GitLab Runner: CI/CD pipeline - Drone: CI/CD pipeline - AWS CodePipeline: CI/CD pipeline Resources: Automating Detection-as-Code: An example reference that uses GitHub for detection content development, GitHub Actions for CI/CD, Elastic as SIEM, GitHub Issues for alert management, and Tines for alert and response handling. Practical Detection-as-Code: An exa
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A standardized framework for describing and classifying cybersecurity incidents
Web-based tool for incident response with easy local installation using Docker.
Enhances Windows OS security through system modifications and settings adjustments.
A security operations platform that provides automated threat detection, access control, and protection against various online attacks through Cloudflare integration.
Open-source security automation platform for automating security alerts and building AI-assisted workflows.
Open source application to instantly remediate common security issues through the use of AWS Config.
Incident response and case management solution for efficient incident response and management.
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