What is Sovereign AI?

Sovereign AI helps your organization use AI with more control. You decide where sensitive workloads can run, which model paths are allowed, and what proof is recorded for governance.

Architecture Sovereign control plane Policy gate · model provider routing · audit evidence
Your workloads AI agents & copilots IDE · chat · automation Product pipelines SDR · threat model · review Enterprise apps Classified by sensitivity Policy gate SecureShift Sovereign ZDR · BLOCK · SHADOW Inference boundary On-prem & air-gapped Self-hosted LLM · local GPU No external egress Managed LLM providers • AWS Bedrock • Google Vertex • Azure Foundry • Anthropic Non-approved LLM route BLOCKED Evidence ledger route_decision provider_attestation workload_class audit SOV-2841
Approved provider Blocked provider ZDR check (sensitive workloads) Illustrative architecture - provider list is policy-configured per workload.

Zero data retention

SecureShift supports policy-enforced Zero Data Retention routing for sensitive AI workloads, including evidence-based provider attestation checks and automatic rejection of non-compliant routes.

Questions customers ask

Many organizations want AI speed, but they also need confidence around data handling, provider flexibility, and compliance expectations.

Yes. SecureShift supports policy-controlled provider choices and fallback behavior.

Yes. For higher-risk workloads, policies can block non-compliant routes.

You can start in monitor mode (shadow) to observe behavior before turning on blocking.

Yes. Enterprise options include customer-hosted and air-gapped deployment models for organizations that need stronger control boundaries.

Yes. Deployment options support customer-controlled credential and endpoint strategies.

SecureShift records policy and enforcement outcomes so teams can support internal governance and compliance workflows with evidence-oriented reporting.

Yes. The Sovereign Gateway option extends policy enforcement to broader AI traffic as an inline control point.

Organizations in regulated or high-trust environments, and enterprise teams that need AI adoption with stronger governance confidence.

Fastest path to value

  1. Classify your highest-priority AI workloads.
  2. Start in monitor mode.
  3. Validate assurance and fallback behavior.
  4. Enable blocking for sensitive workflows.

Ready to see Sovereign AI in your environment?

Request a demo Deployment options