Tracecat

What is Tracecat?

Tracecat is an open-source, AI-native automation platform built specifically for security teams. Developed by Xavier Harmand, it offers AI-assisted workflows that can be up and running in about 15 minutes, backed by an active global developer community. The platform emphasizes a user-friendly interface, AI-powered features, and a strong commitment to data privacy, with development guided by community feedback.

What is Tracecat used for?

Tracecat supports security operations in several ways:

• Build automation workflows: Create custom sequences of actions to automate repetitive tasks, with no limit on the number of workflows.
• Orchestrate alerts: Manage and coordinate alerts, monitor alert trends, and track Service Level Objectives automatically.
• Close cases faster: Speed up incident resolution and open cases directly from workflows.
• Automate SecOps: Streamline Security Operations using pre-built actions and AI-assisted features.
• Protect sensitive data: Use tenants to collaborate while isolating data, and implement detailed privacy policies.
• Manage access: Control whitelists and blacklists to identify trusted or untrusted entities.
• Centralize information: Upload evidence and threat intel in one place.

Support is available on Discord and Slack, with documentation on GitHub. Users can also contribute feedback and suggestions to help improve the platform.

Who is Tracecat for?

Tracecat is designed for professionals involved in cybersecurity and IT, including:

• Security professionals and teams
• MDR (Managed Detection and Response) professionals
• Channel partners
• Security analysts and engineers
• Cybersecurity specialists
• Security Operations Center (SOC) analysts
• Security consultants