Human-in-the-Loop Controls for High-Stakes Agent Actions
Companies must choose which agent actions need human approval to prevent irreversible mistakes.
Reporter
Hana Vidal covers agent deployment, features and access control for agents for AI Agents.
8 stories
Companies must choose which agent actions need human approval to prevent irreversible mistakes.
Enterprise operations depend on machine identities long before AI agents arrive on the scene.
OAuth's human-centered design breaks when AI agents act continuously without pausing for approval.
Most companies deployed agents before building the governance systems to control them.
Agents bypass human hesitation, making real-time action blocking essential.
Agents accumulate sensitive data as a side effect of their work, and nobody knows how to control it.
Most enterprises deploy AI agents without the governance frameworks to control them safely.
Agents fail invisibly, so observability must capture semantics, not just infrastructure metrics.