Technical paper

Assuring Human Approval of Agentic AI Actions

Connect high-stakes AI actions to verified human approval.

When an AI agent takes a consequential action, how do you establish that the right person approved it? A valid credential or confirmation from another device may demonstrate access but human approval requires evidence tied to the person and the specific decision.

Download this iProov technical paper to explore how stronger approval controls can support accountable AI autonomy.

What does human approval of AI agent actions require?

This paper outlines three requirements for highest-risk actions:

• Proof from a physically present human: Evidence originating beyond an agent’s operating capability.
• An independent approval channel: Requests and responses that the proposing agent does not mediate.
• Approval tied to the exact action: Evidence valid only for the person, action, and transaction approved.

What you’ll learn

Explore why conventional approval methods can fall short, how liveness verification supports human approval, and why the strength of proof should match the risk of the action.

For security, risk, and AI leaders building confidence in consequential AI decisions.