Trust & Governance | Native Control Plane
Control who sees what, what agents may do, and where the spend goes—without slowing teams down. Corveil applies those controls across knowledge, Workers, tools, connectors, and models from one routed plane.
The enterprise difference
The same layer that connects your AI clients to organizational knowledge and capability also determines what is visible, permitted, budgeted, and recorded.
One governed plane from the knowledge layer through the agents to the gateway every call routes through.
Three governed domains. One plane.
Security teams should not have to reconstruct control from a patchwork of model settings, agent logs, connector permissions, and cost dashboards.
01 / Knowledge
Answers carry provenance. Team and tenant boundaries are enforced at the row. PII and topic guardrails run before a request reaches a model.
Knowledge that agents can be trusted to act on—and controls your security team can sign.
02 / Agents
Workers are permission-scoped, allow-listed, capped, costed, and auditable. An off-list tool is not refused at runtime. It was never offered.
A workforce you can let act—and prove what it did afterward.
03 / Usage
Every routed model call contributes to one view of usage, budgets, policy, and audit—per model, team, user, and Worker.
Organization-wide AI spend you can see, cap, and audit from day one.
Policy follows the work
Identity
Establish the person, team, tenant, or approved Worker making the request.
Context
Retrieve only the organizational knowledge this identity is allowed to use.
Permission
Offer only approved models, tools, data, writes, rates, and budgets.
Action
Execute through the same governed path—whether requested by a person or a Worker.
Evidence
Record basis, guardrail decisions, usage, cost, actions, and result.
One governed path
No shadow routes around permissions, policy, budgets, or audit. However work begins, Corveil governs it through one operating layer.
The same permissions, limits, and approval rules apply to every request.
Sources, model calls, tool use, decisions, and actions remain traceable.
Manage providers, credentials, spend, and risk without hunting across disconnected systems.
Bounded by construction
Workers can call only the tools you permitted on the systems you bound.
Safe mode is enforced where work executes, not treated as a convention in the request.
Every lookup carries an explicit organization check, repeated at the point of use.
Iterations, rates, budgets, and model calls remain bounded and visible.
Consequential actions can require review and approval before execution.
Requests, evidence, decisions, actions, costs, handoffs, and results stay connected.
Your AI tool is the interface
Connect Claude, ChatGPT, Codex, Cursor, or another MCP client. People ask for knowledge or work in the tool they already use. Corveil’s gateway exposes only what is available to them and applies policy behind every exchange.
Own the control plane
Access boundaries live in the data layer, not only in the interface.
Workers and provisioned tools remain inside the same permissions, policy, and audit boundary.
Model usage, Workers, knowledge access, and policy decisions share the same record.
Missing permission does not degrade to a warning. The capability stays unavailable.
Everything Corveil learns about your organization compounds in your instance as an asset your company owns.
Move fast enough to matter. Stay governed enough to deploy.
Start with one consequential domain. Define its knowledge boundaries, permitted work, approval gates, and evidence requirements with Corveil.