Tracecat is an open-source security automation platform designed to orchestrate incident response workflows for teams and AI agents.
Security teams face the challenge of manually coordinating detection, investigation, and response across multiple tools and data sources. Tracecat addresses this by providing a low-code platform where users can build automation workflows that connect security tools, execute investigations, and trigger responses. The platform supports both human operators and AI agents as workflow participants, allowing teams to define conditional logic, integrate with external services, and automate repetitive security tasks without extensive custom development.
Teams should consider Tracecat if they need to reduce mean time to response for security incidents, consolidate fragmented tooling, or enable non-engineers to build automation logic. It suits organizations that want to standardize incident response procedures across their security operations and those exploring AI-assisted security workflows. The platform is particularly relevant for teams managing case-based incident workflows where multiple steps must be coordinated across different systems.
The project shows active development with regular commits addressing core functionality and user-facing features. Work spans infrastructure improvements, API enhancements, and workflow execution reliability. The maintainers are responsive to issues and incorporate feedback into the roadmap. Development activity indicates sustained effort on both the backend orchestration layer and the frontend interface for workflow design.
