Human-in-the-Loop Approval
Human-in-the-loop approval is a policy outcome where a tool call that exceeds automated policy thresholds is paused and routed to a human reviewer before execution proceeds.
Why this matters for AI agents
Not every access decision can be fully automated. For high-impact actions—such as deleting records, sending external communications, or modifying production infrastructure—human review adds a critical safety layer.
How AgntID relates
AgntID can enforce a durable exact-action hold when fail-closed approval is configured. Framework or approval-system integrations handle reviewer routing; fail-open review is clearly labeled advisory and is not an approval gate.
The static IAM gap
IAM has no concept of pausing a call for human review. It either allows or denies. Human-in-the-loop approval requires a runtime enforcement layer that can hold calls pending approval.
Related phrases
Related terms
Frequently asked questions
What is human-in-the-loop approval for AI agents?
Human-in-the-loop approval is a policy outcome where a tool call that exceeds automated policy thresholds is paused and routed to a human reviewer before execution proceeds.
When should human-in-the-loop approval be used?
Human approval is appropriate for high-impact actions such as deleting records, sending external communications, or modifying production infrastructure—where automated policy alone is insufficient.
How does AgntID implement human-in-the-loop approval?
In enforced mode, AgntID durably holds the exact tool action, verifies a task-, actor-, session-, argument-, and expiry-bound decision, consumes it once, and rechecks current policy before execution. Fail-open review is advisory only.
Secure every agent tool call at execution time.
AgntID gives infrastructure teams scoped, ephemeral access control for AI agents without replacing IAM, MCP servers, tools, or agent frameworks.