Challenge
Let AI use enterprise data under the same rules as people.
An assistant is only as trustworthy as the data it can reach — and the governance around it. Governed AI access means no new silo and no over-sharing.
- AI under user permissions
- Every query audited
- No new data silo
The problem
Teams want AI on their enterprise data, but an assistant either sees nothing useful or — handed raw credentials — sees far too much. Neither is acceptable.
Why traditional approaches struggle
Wiring an assistant to source systems directly means new credentials, a new copy of the data, and a governance model that lives outside everything else you already control.
Our copilot pilot failed because it couldn't see real data — or saw too much.
With Virtual Data Platform, the MCP server exposes only the datasets you license; the assistant answers under the asker's own permissions, every query audited.
AI on facts instead of confident fiction, governance intact.
- MCP
- Per-user identity
- Audit
The solution
How Virtual Data Platform addresses it
AI assistants and agents reach data through the same governed layer people use — per-user identity, source permissions, sandboxing and full audit. No new data store, no separate rulebook.
The assistant inherits the signed-in user's permissions — it can't see what they can't.
Every query is attributable and audited, exactly like human access.
No new copy of the data and no separate governance model.
See your own data live in 30 minutes.
Start with a live demo — we'll show your use case in Excel, Power BI, R, or through an AI assistant. Then take it further with a free trial in your own isolated tenant.