SovAIHub

SovAIHub Assurance Levels

Five levels of demonstrable control

SovAIHub Levels 0–4 are an independent, AI-native maturity model. They are not European Commission SEAL levels, a certification, or an awarded status.

System-wide progression

A level applies only when all required controls are implemented and supported by sufficient evidence. Partial coverage should be reported by domain, not rounded up.

Level 0 · Externally Dependent AI

The AI capability depends materially on externally controlled inference, infrastructure, artifacts, or operations.

  • External inference or hosting dependency
  • Limited model and infrastructure control
  • External control plane or vendor operations may be required

Dependencies must first be identified and governed

Level 1 · Controlled AI

Providers, access, logging, data rules, residency, and operating responsibilities are explicitly governed.

  • Approved providers and models
  • Identity, access, and logging controls
  • Defined data handling, residency, and provider governance
  • Material external dependencies remain visible

2 baseline controls required

Level 2 · Sovereign Data & Inference

Sensitive data and inference remain inside the approved boundary without a mandatory external inference API.

  • Private or local model serving
  • Prompts, outputs, and RAG data remain controlled
  • Controlled storage, encryption, egress, and audit
  • No mandatory external inference API

6 baseline controls required

Level 3 · Operationally Sovereign AI

The organization can operate, update, recover, and substitute critical components without continuous original-vendor involvement.

  • Internal model, container, and package sources
  • Controlled imports with provenance
  • Independent observability and documented recovery
  • Offline serving and component substitution capability

9 baseline controls required

Level 4 · Autonomous Sovereign AI

The complete AI capability can be securely operated, recovered, and evolved without mandatory runtime Internet or vendor dependency.

  • Air-gap-capable runtime and local supporting services
  • Internal repositories and controlled transfer zones
  • Reproducible deployment, complete audit trail, and controlled agents
  • Vendor-loss scenario does not remove the AI capability

10 baseline controls required

Hard caps

Critical sovereignty breakers override averages

A strong score elsewhere cannot compensate for a dependency that defeats the claimed operating state.

Mandatory external inference API

CAP: LEVEL 1

The workload cannot perform required inference without an externally controlled API.

Inference is outside the sovereign execution boundary.

Mandatory SaaS runtime control plane

CAP: LEVEL 2

A third-party SaaS control plane is required to start, route, authorize, or recover runtime service.

Independent operation is not possible.

Mandatory outbound telemetry

CAP: LEVEL 3

Runtime operation requires outbound telemetry that cannot be disabled or locally terminated.

Disconnected operation cannot be demonstrated.

Mandatory online license validation

CAP: LEVEL 3

Critical runtime components stop without recurring external license validation.

Level 4 continuity depends on network and vendor availability.

No independent model artifact access

CAP: LEVEL 2

The organization cannot retain or restore the critical model artifact under its authorization.

Model continuity and substitution are constrained.

No critical runtime recovery mechanism

CAP: LEVEL 2

Critical artifacts, configuration, data, keys, or operating knowledge cannot be restored.

Operational sovereignty requires tested recovery.

Runtime Internet required

CAP: LEVEL 3

Required AI service cannot continue while public Internet access is denied.

Air-gap-capable Level 4 operation is impossible.

Critical external agent or tool dependency

CAP: LEVEL 3

A material agent outcome depends on an externally controlled tool without an approved local substitute or fail-safe path.

The agent capability cannot be operated autonomously.