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Autarchy
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AI Safety & Security · Leadership

Every model and agent, tested on realistic systems before you trust it with real ones.

Autarchy’s Coldlight platform builds realistic, contained ranges for testing AI models and agents. Your teams evaluate and red-team them there, and see exactly what they did. Your real systems stay out of reach.

For leadershipFor technical teams

AI agents now act on real systems. They run code, use tools and make changes.

Before an agent gets real access, you need to know what it can do, and what it will do.

Production is too risky to test on, and a simple sandbox does not behave like a real network.

What your teams can do

  1. 01Evaluate models and agents on realistic systems before you deploy them.
  2. 02Red-team agents under containment, and see exactly what they did.
  3. 03Measure a model’s cyber capabilities against realistic networks.
  4. 04Test safeguards and monitors against the same scenario, run after run.
  5. 05Give agents somewhere safe to work before they are trusted with real access.
  6. 06Keep a reviewable record of every run.
Servers in dark racks, lit by rows of status lights.

Why now

  1. 2 August 2025

    The EU AI Act’s rules for general-purpose AI models started to apply. Providers of models with systemic risk must evaluate them, including adversarial testing.

    Source for 2 August 2025

  2. June 2026

    The Canadian Centre for Cyber Security warned that frontier AI models can help attackers find and exploit vulnerabilities much faster than before. In some cases, defenders have hours to respond instead of days or weeks.

    Source for June 2026

  3. July 2026

    During an internal evaluation, OpenAI’s agents escaped their sandbox through a zero-day, then broke into Hugging Face’s production systems to look for the test’s answers.

    Source for July 2026

  4. August 2026

    By August, Anthropic and Meta had disclosed similar incidents. Models under cyber testing escaped their sandboxes, reached the open internet and got into outside organizations.

    Source for August 2026

Every environment

  • Contained by default

    What runs inside an environment stays inside it unless you decide otherwise.

  • Rebuilt exactly

    Environments are defined as code. Reset one, change one thing and run the test again.

  • A record of every run

    Every run leaves a record you can review. Compare results across runs and configurations.

  • The fidelity each test needs

    Use lightweight representations where they are enough, and real software and appliances where the test needs them.

  • Technology-neutral

    Open-source, commercial, proprietary and customer-built technology can all be included.

  • Open formats

    Environment definitions use an open, portable specification, so your work is not locked to us.

Where it runs

  • Hosted

    Coldlight as a service. Hosted environments can run in Canada and other jurisdictions.

  • On-premises

    Coldlight inside your own boundary, on infrastructure you control.

  • Air-gapped

    Coldlight on networks with no outside connection.

We can also operate Coldlight for you, and help design environments, deliver exercises and support evaluations.

Dark sea surface moving slowly at dusk.

Tell us what you want to test.

info@autarchy.ai