AI-SOV-01
Governance & Jurisdiction
Decision authority, ownership, governing jurisdiction, operators, and dependency accountability.
AI-SOV control catalogue
Ten domains and their baseline controls connect sovereignty goals to implementation guidance, expected evidence, validation methods, and jurisdiction mappings.
AI-SOV-01
Decision authority, ownership, governing jurisdiction, operators, and dependency accountability.
AI-SOV-02
Control prompts, outputs, retrieval and training data across residency, access, retention, deletion, and cryptography.
AI-SOV-03
Know, retain, license, host, replace, and govern model artifacts through their lifecycle.
AI-SOV-04
Keep inference execution, endpoints, isolation, and control-plane dependencies inside the approved boundary.
AI-SOV-05
Control compute, accelerators, clusters, storage, networks, and administrative dependencies.
AI-SOV-06
Import, verify, approve, store, and reproduce every critical model and software dependency.
AI-SOV-07
Bound agent permissions, tools, external services, approvals, sandboxes, and outbound actions.
AI-SOV-08
Operate, support, upgrade, recover, transfer knowledge, and substitute components independently.
AI-SOV-09
Enforce identity, secrets, key management, monitoring, testing, auditability, and configuration assurance.
AI-SOV-10
Control Internet, telemetry, DNS, updates, endpoints, and disconnected operations.
Baseline catalogue
These controls are deliberately technology-neutral. Product mappings show contributions; they never pre-award a result.
AI-GOV-001 · Governance & Jurisdiction
The system must have an approved sovereign boundary, named decision authority, operators, and dependency owners.
A location claim is insufficient unless authority and external dependencies are explicit.
Maintain a versioned system definition and responsibility map with approval and reassessment triggers.
AI-DAT-001 · Data Sovereignty
Prompts, outputs, retrieval data, and training data must remain within approved locations, identities, retention, and deletion rules.
Data control covers movement and lifecycle, not residency alone.
Propagate classification and permissions through ingestion, retrieval, logs, caches, backups, and deletion.
AI-MOD-001 · Model Sovereignty
The organization must retain authorized access to identified model artifacts and a tested replacement path appropriate to the target level.
API access or a mutable model name is not independent custody.
Record model identity, license, provenance, evaluation, package, internal location, approval, and retirement path.
AI-INF-001 · Inference Sovereignty
AI inference must execute within the defined sovereign execution boundary without a mandatory external inference API at Level 2 or above.
Runtime endpoints, routing, and control planes are part of the inference boundary.
Use customer-controlled endpoints, deny unapproved routes, and test inference during external-service loss.
AI-PLT-001 · Infrastructure Sovereignty
Critical compute, storage, network, scheduling, and administration must be operable and recoverable under the target dependency conditions.
Owning hardware does not prove recovery or administrative independence.
Define the tested platform bill of materials, privileged paths, capacity envelope, backup, restore, and replacement procedure.
AI-SUP-001 · Artifact & Supply Chain Sovereignty
Critical software and model artifacts must enter through a verified, approved, traceable promotion path and remain recoverable from authoritative sources.
A disconnected runtime still depends on its import, update, and recovery supply chain.
Separate acquisition, quarantine, approval, internal repositories, offline builds, revocation, and rollback.
AI-AGT-001 · Agent & Tool Sovereignty
Agents may use only approved tools, identities, destinations, permissions, and human approval paths within the declared boundary.
An external tool can reintroduce data, jurisdiction, and continuity dependencies.
Maintain a versioned tool catalogue and enforce deny-by-default authorization, sandboxing, egress, approval, and action receipts.
AI-OPS-001 · Operational Sovereignty
The organization must be able to operate, diagnose, update, recover, and evolve the AI capability without continuous original-vendor involvement.
Operational sovereignty is demonstrated through exercised capability and retained knowledge.
Test vendor-loss, operator handover, rollback, restore, component substitution, and controlled update scenarios.
AI-SEC-001 · Security & Assurance
Identity, secrets, keys, logging, testing, and security decisions must have controlled authorities and reviewable evidence.
Security supports sovereignty but does not replace jurisdictional or operational independence.
Bind every privileged action and release to identity, policy, configuration, test, and retained evidence.
AI-NET-001 · Network & Air-Gap Sovereignty
Runtime Internet, telemetry, DNS, licensing, update, and external endpoint dependencies must be declared, constrained, and compatible with the target level.
Level 4 requires no mandatory runtime Internet, outbound telemetry, or online license validation.
Inventory destinations and failure behavior, enforce egress policy, and exercise disconnected operation.