Control AI.
One control plane. Every AI. Imperium sits between your people, agents and automations and every AI they use — cloud models, private models, coding assistants, RAG pipelines, MCP servers. Every request becomes a governed request with an identity, a classification, a route, a trust level and an evidence trail.
WHAT IMPERIUM DOES
- Discovery — finds the AI estate: models, endpoints, agents, clients, MCP servers, automations; assigns owner, department, location, trust and policy.
- Identity — who is asking: user, workload, delegated agent; role and department carried on every hop.
- Policy — layered rules (global → region → department → role → user → session) that inherit and override; the model never decides what it is allowed to do.
- Routing — public classification to a cloud model, confidential to a local model, restricted to an offline model, heavy workloads to the GPU cluster.
- Credentials — providers keys never reach clients; Imperium holds and rotates them.
- Approval — high-risk actions (payments, external delivery, production changes) stop for a human decision.
- Cost — every token has an owner: department → team → user → agent → session → request.
- Trust propagation — untrusted web content lowers the trust of everything derived from it, and policy acts on that trust at the moment of action.
- Provenance & audit — immutable evidence for every decision, sealed with Sentinel.
A LIVE REQUEST
"Analyse the Q4 acquisition plan and email the summary to management." Identity: executive with finance access. Classification: CONFIDENTIAL. Context: ERP, CRM, internal documents. Model: Claude Enterprise via governed route. MCP: internal file server. A web result enters the context — UNTRUSTED. Trust drops HIGH → MEDIUM. Action requested: EMAIL.SEND. Policy blocks the action before execution: output contains information derived from an untrusted external source.