Vayon Agent Governance

Govern every agent, wherever it's built

Build agents anywhere. Govern them through Vayon AI. The Agent Control Center keeps one Unified Agent Inventory of internal, external and code agents — each with an owner, a risk level, permissions and a governed identity. Significant actions pause for human approval, and every run, change and approval is kept as reviewable evidence.

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Govern. Route. Audit.

One inventory for every agent

Vayon AI keeps a single Unified Agent Inventory of every agent it can identify — agents built inside Vayon AI, external agents built on any framework, and code agents. One place to see what each agent is, who owns it, how risky it is and what it may do.

Vayon AI Agent Control Center showing the Unified Agent Inventory with internal, external and code agents, filterable by type.
One inventory for every agent Vayon AI can identify — internal, external and code. Demonstration environment with synthetic agents (Northstar Manufacturing); not a live customer system.

Filter and govern by type

Filter the inventory by category — internal, external or code — to review and manage each kind of agent under the same governance model.

The Unified Agent Inventory filtered to internal agents.
Filter the inventory by agent type. Demonstration environment with synthetic agents (Northstar Manufacturing); not a live customer system.

Build an agent from inside Vayon AI

Register an agent from inside the product: give it a business and technical owner, a risk level, a sensitivity ceiling, and explicit limits on the tools, actions and task types it may use. An AI assist can draft these fields from a short description — it saves nothing until you review and confirm.

The Vayon AI agent registration form with fields for ownership, risk level, sensitivity ceiling, allowed tools, actions and task types, and an AI auto-fill assist.
Register an agent from inside Vayon AI: ownership, risk, sensitivity ceiling and permissions. The AI auto-fill drafts fields for review and saves nothing before the human confirms. Demonstration environment with synthetic agents (Northstar Manufacturing); not a live customer system.

Bring external agents under governance

Register an external agent and bind it to an authorized technical identity — an integration client — so it can only act through an approved machine identity. Vayon AI also surfaces external agents seen in authenticated gateway traffic, from explicit Agent-ID metadata, that are not yet registered — as safe metadata only, never a prompt or payload — so you can review and register them.

An external agent card in Vayon AI showing business owner, risk level, permissions and the bound integration client that gives it an authorized technical identity.
An external agent bound to an authorized technical identity, with owner, risk and permissions. Demonstration environment with synthetic agents (Northstar Manufacturing); not a live customer system.

Human approval for significant actions

A significant action — a data write, a high-impact or high-sensitivity step, an external call — pauses for a human decision instead of running on its own. The request is bound to an exact action plan, and the person who requested it cannot approve it themselves.

The agent action approvals queue showing a pending high-risk write awaiting a human decision, with self-approval disabled for the requester.
A high-risk action pauses in the approvals queue for a human decision; the requester cannot self-approve. The pending action performs no external or destructive operation. Demonstration environment with synthetic agents (Northstar Manufacturing); not a live customer system.

How the approval flow works

Request, policy evaluation, approval required, human decision, revalidation, execute or block, audit evidence. Policy evaluation intersects the actor's authority, the agent's own grants, its workload identity and organizational policy — an agent can never widen its own authority. Before an approved action runs, Vayon AI re-checks the action-plan fingerprint, the agent's version, its lifecycle and the approval's validity; if the agent or its plan changed, the approval no longer applies. Not every action needs approval — read-only, low-impact work can run within policy.

Evidence for every run, change and approval

Vayon AI keeps a read-only record of what each agent did, what changed and who approved what. Runs, an immutable version history and the approval trail are bound to each action plan's fingerprint — safe metadata only, never the agent's payload, prompt or secrets.

The read-only agent evidence screen showing a run scorecard, run timeline, immutable version history and the approval trail bound to each action plan fingerprint.
Read-only evidence: runs, immutable version history and the approval trail bound to each action. Safe metadata only — never the agent's payload, prompt or secrets. Demonstration environment with synthetic agents (Northstar Manufacturing); not a live customer system.

Governed, not hands-off

Vayon AI governs agents built anywhere — it registers them, binds their identities, sets their permissions, evaluates their actions and keeps the evidence. Agents act within policy and, for anything significant, only after a human approves. The runtime that lets agents act on their own is still expanding, and Vayon AI does not claim a hands-off agent platform.

One place to govern every agent

See the Unified Agent Inventory, the approval flow and the evidence timeline in a live walkthrough.

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