Short answer: A human approval gate pauses an AI agent action before execution when policy identifies elevated risk, then allows an authorized reviewer to approve or deny the exact requested action.
Which agent actions should require approval?
Human review is most useful for actions that are irreversible, financially significant, destructive, regulated, unusual, or broader than the agent’s normal scope. Requiring approval for every read action creates delay without reducing meaningful risk.
Approval should be part of policy rather than an informal chat message. The reviewer needs the exact action, target, parameters, reason, risk, and expiration time before making a decision.
A safe agent approval workflow
- The agent requests a tool. The request includes the named action and complete proposed parameters.
- Policy detects an approval condition. The action, value, target, risk score, or context crosses a defined threshold.
- Execution pauses. No downstream credential is retrieved and no API change is made.
- An authorized reviewer decides. The reviewer sees the requested action and approves or denies that exact request.
- The runtime resumes or closes. Approved actions continue within a short validity window. Denied or expired actions do not execute.
- The decision is audited. The record connects the agent request, reviewer, decision, policy, and outcome.
How KeyRunner applies approval gates
KeyRunner policies can require human approval for high-impact tools or conditions such as a payment amount, destructive method, sensitive data scope, or elevated blast radius. The request is held before the downstream call.
Approval events become part of the live execution audit trail. This provides evidence of who approved what, under which policy, and whether the approved action completed, failed, timed out, or rolled back.
Enterprise checklist
- Risk-based rather than universal approvals
- Exact parameters visible to reviewer
- Authorized reviewer roles
- Short approval validity window
- No credentials before approval
- Approval and outcome in one audit chain
Frequently asked questions
How do human approval gates work for AI agents?
A human approval gate pauses an AI agent action before execution when policy identifies elevated risk, then allows an authorized reviewer to approve or deny the exact requested action.
Do all AI agent actions need human approval?
No. Low-risk, well-scoped actions can run automatically. Policy should reserve human review for actions whose impact or uncertainty justifies the delay.
Can an approved action be changed before execution?
It should not be. Approval must bind to the exact tool and parameters. A changed request should require a new policy evaluation and approval.
Related KeyRunner guides
- How Do AI Agents Access APIs Without Exposing Credentials?
- What Is MCP Security and How Do You Govern MCP Tools?
- How Do You Enforce Least Privilege for AI Agents?
- Agentic Security and AI Governance Guide
Explore the KeyRunner secure agent runtime, step through the live governance scenarios, or talk with the KeyRunner team.