Sovereign AI

AI Sovereignty Is
Governance,
Not Real Estate

Putting AI in your own data center doesn't make it sovereign if the software stack phones home, caches your data, or demands admin-level API keys. Mariete delivers the control layer — the policy and architecture that makes sovereignty real.

Explore the Control Layer Why It Matters
Why

Every AI integration leaks
five forms of control

When you plug into a typical AI platform or agent, you surrender these without realizing it — and regulated industries can't afford any of them.

• Leak 1
Execution
You don't own the environment. Code runs in a shared API endpoint — you can't inspect, freeze, or prove what happened.
• Leak 2
Credentials
Vendor API keys are broad, persistent, and invisible. You have no session-level scoping or kill switch.
• Leak 3
Data Flows
Processing boundaries are opaque. You can't tell what data left, when, or to whom — and you can't stop it.
• Leak 4
Audit Trail
No traceable chain of agent decisions or tool calls. You can't prove what happened to a regulator.
• Leak 5
Policy
The platform sets the rules. You inherit their data retention, compliance posture, constraints.

"A server in your building running a vendor's model that caches your prompts, phones home telemetry, and requires unfettered API keys is not sovereign — it's just a colocated vendor."

The real estate mistake

How

Mariete inverts the model:
five layers of built-in control

Instead of "here's an AI, we'll try to make it safe," Mariete starts from sovereignty and builds upward — every layer is an architectural guarantee, not a policy promise.

01
Execution Sovereignty
Every agent runs in an isolated, persistent Linux sandbox at /workspace — a real computer, not a shared API endpoint.
You control what runs. Files stay in your workspace. No vendor-side data harvesting.
02
Credential Sovereignty
Integrations are scoped, session-level, and revocable — via MCP profile activation, not wide-open API keys baked into config.
You control access. Grant and revoke tool-by-tool, session-by-session. No long-lived secrets roaming free.
03
Data Flow Sovereignty
Every tool call is explicit. The agent declares what it will do — read_file, web_search, scrape_webpage — and you see every boundary crossing.
You control the perimeter. Nothing leaves the sandbox without passing through a declared, visible tool.
04
Audit Sovereignty
Every agent action is traced — tool invocation, file read, credential activation — producing a regulator-ready audit chain.
You can prove what happened. Not "the AI summarized it" — exactly which tools ran, what files were touched, who was in scope.
05
Policy Sovereignty
Your compliance rules — not the vendor's. Define data handling, retention, and model behavior to match your regulatory requirements.
You set the rules. The platform bends to your compliance posture, not the other way around.
What

The outcome customers buy

Sovereignty isn't a checkbox — it's five concrete capabilities that change how the business runs AI day to day.

Capability What It Means
Own your AI runtime The agent runs on your logical infrastructure with your data boundaries. It's debuggable, stoppable, and auditable — not a black box API call.
Control credential scope Temporary, purpose-scoped access replaces permanent admin keys. You activate and deactivate integrations per session, per agent, per task.
Define data egress rules Every boundary crossing is a declared tool call. You know exactly what data leaves, when, and why — and you can forbid it by policy.
Prove decisions to auditors Complete audit trail of every agent action: tool calls, file reads, credential activations. Regulator-ready, not hand-wavy.
Make the platform follow your rules Your data handling policies, retention windows, and model behavior constraints — encoded and enforced, not hoped for.
Run where you need it Cloud, on-prem, or air-gapped. The control layer travels — your policies and audit trail don't change because the deployment model does.

Sovereignty is the premise, not the add-on

Mariete starts with control and builds AI on top — not the other way around. That's the difference between a colocated vendor and a genuine control layer. When your regulated business can't afford a leak, you don't just need AI — you need an AI platform that's sovereign by architecture.

Talk to the team