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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Dispatch helps manage security incidents by integrating with existing tools and automating incident response tasks.
A defense-in-depth security automation and monitoring framework utilizing threat intelligence, machine learning, and serverless technologies.
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A Sysmon configuration file template with detailed explanations and tutorial-like features.
Automate security incident handling and facilitate real-time activities of incident handlers.
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