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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Fast Intercept is a security automation platform that empowers users to maximize their existing security products and automate routine tasks.
A project that uses Athena and EventBridge to investigate API activity and notify of actions for incident response and misconfiguration detection.
Incident response and case management solution for efficient incident response and management.
npm security team foils plot to steal $13 million in cryptocurrency
A modular incident response framework in Powershell that uses Powershell Remoting to collect data for incident response and breach hunts.
A data curation platform that automates security data collection, transformation and routing while reducing data volume and infrastructure costs.
Scumblr is a web application for periodic syncs of data sources and security analysis to streamline proactive security.
Dropzone AI is an autonomous AI agent for SOCs that performs end-to-end investigations of security alerts, integrating with existing cybersecurity tools and data sources.
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