Register governed agent accounts
Register AI applications as Agent Accounts with client credentials, policies, lifecycle state, and a clear operating boundary.
Agent IAM & Governance
Control what every agent can access
Tie every agent request to an actor, agent account, delegated user, credential source, policy decision, and audit record before it reaches a tool or resource.
Book a demo
Delegate without over-permissioning
Let agents act on behalf of users without inheriting broad access. Runlayer evaluates the delegation chain, OAuth scope, agent account, policy, and runtime context before each action.
Keep the decision in the audit trail
Distinguish the user, agent account, client, connector, tool, policy result, credential source, and outcome in the audit trail.
Access models Runlayer supports
Runlayer separates autonomous agent access from user-delegated access, then applies policy conditions before actions run.
Autonomous
Agent accounts use machine-to-machine tokens for autonomous jobs, service-level automation, and custom AI applications.
Delegated
On-behalf-of tokens preserve user context when an agent acts for a specific person and needs user-scoped access.
Policy conditions
Policy can account for users, groups, roles, agent accounts, tools, resources, OAuth state, client, and runtime context.
Frequently asked questions
Agent identity establishes who is acting. Policy decides what that actor can do, which tools it can use, which resources it can reach, and which conditions must be true before the action runs.