Identity
Every agent is known.
Register agents as owned identities with scopes, short-lived credentials, and clear accountability.
gatekeep
Log inGovernance for AI agents & MCP servers
Don't give agents keys.
Give them boundaries.
gatekeep sits between AI agents and the tools they call. It identifies the agent, checks the policy, pauses risky actions for approval, and leaves a clean audit trail for every decision.
Agent-owned identityPolicy before executionAudit-ready decisions
Control model
Four things every agent action should prove.
Policy
Every tool has rules.
Set the default once: allow, require approval, or block. Override only when an agent truly needs it.
Approval
Risk pauses first.
High-impact actions wait for a human decision before they execute, not after the damage is done.
Posture
Gaps become visible.
See ungoverned agents, stale approvals, unused access, and tools that are too open.
Runtime decisions
Every call gets one clear outcome.
Not every action needs friction. The point is to slow down the right things and make the wrong things impossible.
Low-risk, in-policy calls continue without slowing the agent down.
Sensitive actions require a human approval before execution.
Out-of-policy calls stop before they touch the tool.
Reviewed onboarding
Start with the tools your agents can't afford to misuse.
Request access for your organization. A super admin reviews each request before an organization or first admin account is created.
Built for teams that need agent access governed before it becomes an incident.