Sovereign AI for Classified Environments

Run modern AI workflows entirely inside your security boundary — no tokens, prompts, or telemetry ever leave your network.

AI Adoption Shouldn't Mean Giving Up Control

Teams operating in classified and regulated environments have been locked out of the AI wave: every mainstream tool assumes your data can leave the building.

Mattermost Sovereign AI ends that tradeoff — local models, full auditability, and role-based controls, deployed on infrastructure you own.

What's Inside

  • Local Inference

    Bring your own model server or use the reference deployment.

  • Zero Egress

    No prompt, completion, or telemetry leaves your boundary.

  • Full Audit Trail

    Every interaction logged to your compliance store.

  • Role-Based Access

    Admins decide which teams and channels can invoke AI.

  • Playbook Integration

    AI steps inside your existing operational workflows.

  • Open APIs

    Wire the same capabilities into your own tooling.

Deploys Where You Operate

The same architecture runs in air-gapped enclaves, on-prem data centers, and private cloud.

  • Kubernetes operator and Helm charts
  • Reference deployments for AWS GovCloud and Azure Government
  • No external runtime dependencies
Read the deployment guide
We cut incident summary time from forty minutes to four, without a single byte leaving our enclave.
Operations Lead, Allied Defense Organization

40 min → 4 min

Incident summary time, fully inside the boundary

Frequently Asked Questions

Any model served over an OpenAI-compatible API — including fully open-weight models you host yourself.

No. All components, including model weights, install from media you control.

Next Step

Ready for a Classified Briefing?

Our public-sector team can walk your security office through the full architecture.

Contact Us Download the Datasheet