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Colchix

Solutions · Tech

AI governance for software teams that ship with AI agents

Your developers work with Claude Code, Cursor and Copilot, and your agents call MCP servers. Colchix finds every one, redacts secrets and customer data on the way out and keeps the evidence your customers ask for.

A marble labyrinth seen from above, a thread of green marble running from its entrance to the centre.

The problem

Your agents read everything

Coding agents are the most productive tools your team has, and the ones with the widest access.

  • 01

    Secrets in the context window

    Agents read repositories and .env files, and keys and credentials travel to the model with the code.

  • 02

    Customer data in prompts

    Logs, tickets and database samples pasted for debugging carry your customers' data.

  • 03

    Questionnaires about AI

    Enterprise customers now ask how you govern AI, and they want evidence, not a statement.

Use case · Tech

15:10 · An agent opens .env

One coding agent and one secret, at a software company

An illustrative example: what each agent does, step by step.

  1. 10doors AI comes through, agents included

    01ARGUS · Discover

    Every agent, every server

    ARGUS finds the coding agents your developers run, Claude Code, Cursor and GitHub Copilot, and the MCP servers and OAuth connectors they reach, next to the AI tools in the browser.

  2. 0secrets sent to the model

    02TALOS · Protect

    The secret stays local

    A coding agent reads .env while fixing a bug. TALOS redacts the API key before the context reaches the model, which sees <CXT_SECRET_REDACTED>, and the agent keeps working.

  3. Day 1evidence, from the first session

    03ATHENA · Prove

    Answers for the questionnaire

    Every agent session leaves a sealed record, so the next security questionnaire about AI gets evidence: which tools, which data, which controls.

  4. THEMISSystem One² AI model

    Under every step · Decide

    THEMIS recognized the key as a secret before the context left the machine, without slowing the agent.

Ready to ship with AI agents, not your secrets?

Coding agents.

Covered.

  • Any AI tool
  • Prompts never stored
  • Live in 5 minutes

Colchix governs the AI tools your teams already use, among them ChatGPT, Claude, Gemini, Microsoft Copilot, Cursor, Mistral, Perplexity, DeepSeek, GitHub Copilot, Grok, Notion AI, Hugging Face, Meta AI, Qwen, Ollama.

Tech FAQs

What tech teams ask about governing AI with Colchix.

Which coding agents does Colchix cover?

Claude Code, Cursor, GitHub Copilot and the other coding agents your developers run, alongside the MCP servers, APIs and SDKs they call. ARGUS lists them; TALOS protects what they send.

Explore ARGUS
Will it slow developers down?

No. THEMIS judges in milliseconds and redaction is invisible unless a rule needs explaining, so agents keep working with the code.

What does TALOS redact?

API keys, tokens and credentials, customers' personal data in logs and samples, and anything you define as confidential, such as internal hostnames or project codenames.

Explore TALOS
Can it help with customers' security questionnaires?

ATHENA keeps sealed records of AI usage and the controls applied, so questions about how you govern AI get answered with evidence, mapped to frameworks such as ISO/IEC 42001, the EU AI Act and the NIST AI RMF.

Is there an MCP server?

Yes. The Colchix OS MCP server brings the OS to the agents and tools that speak MCP.

Explore the MCP server
What is THEMIS?

THEMIS is Colchix's System One² AI model, the judgement under ARGUS, TALOS and ATHENA: it decides what's sensitive, names the AI tools nobody knew about and files each record under the rule it proves, in milliseconds and on your rules. In the tech example on this page, it recognized the key as a secret before the context left the machine, without slowing the agent.

Explore THEMIS

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