Sovereign AI is more than where data is stored or compute runs. AI systems retrieve, embed, cache, infer, log, and act on sensitive data across distributed workflows. Governments, enterprises, and sovereign cloud providers need infrastructure that proves control across the AI data lifecycle.
Sovereign AI infrastructure by VAST Data
Enforce Sovereign AI at The Data Layer
VAST Data delivers the foundation for sovereign AI, enabling governments, enterprises, and cloud providers to build AI infrastructure without sacrificing scale or speed. See how forward-thinking nations are deploying it today.
The Sovereign AI Challenge
Residency is not enough. AI Expands the Sovereignty Boundary.
Residency Without Control
Data may sit in an approved location but still be exposed through unmanaged copies, weak access controls, support processes, fragmented logs, or AI pipelines that cannot be reconstructed.
Fragmented Data and Evidence
Legacy architectures scatter data, metadata, vector indexes, audit logs, and governance controls across systems. That makes it harder to prove who accessed what, where data moved, and how AI used it.
AI Expands the Control Boundary
Prompts, embeddings, retrieved context, inference logs, cache, and agent actions can all contain sensitive information. Sovereign AI requires control across these new surfaces, not just the original dataset.