tracecat: what it is, what problem it solves & why it's gaining traction

What it solves

Tracecat is an agentic security automation platform designed to help security teams automate their workflows and case management. It replaces fragmented tools by combining AI agents, low-code workflows, and case tracking in a single environment, allowing teams to move from a prompt to a full automation.

How it works

The platform integrates AI agents with a low-code builder for complex control flows (including loops and if-conditions) and durable execution via Temporal. It uses nsjail for sandboxing untrusted code and agents, ensuring security. It also supports the Model Context Protocol (MCP) to turn prompts into automations and allows users to sync custom Python scripts from Git repositories to use as tools.

Who it’s for

Security operations teams who need to automate repetitive tasks, manage security cases, and integrate multiple enterprise tools via pre-built connectors.

Highlights

• Prompt-to-automations: Create end-to-end automations using AI agents and workflows.
• Agentic Framework: Build custom agents with prompts, tools, and chat capabilities.
• MCP Support: Connect to custom agents and MCP servers to expand functionality.
• Code-native: Sync Python scripts from Git as tools or workflow steps.
• Sandboxed Execution: Runs untrusted code in nsjail sandboxes for safety.
• Case Management: Integrated tracking and resolution of work items.
• Broad Integrations: Over 100 pre-built connectors for enterprise tools.