Control whether an AI agent's proposed actions are allowed, escalated, or blocked before execution.

Done with

agent-safe-pipeline

How

The agent submits an immutable hashed intent to an independent decision-policy layer. Risky requests can require approval tied to that exact intent, and a sealed executor validates parameters and consumes a single-use grant before using downstream credentials.

Result

The agent cannot approve its own actions, and risky actions can require intent-specific approval.

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Related use cases

• Agent safety
• Monitor AI-agent activity and detect risky behavior before actions occur.
• Continue coding tasks while requesting human approval for risky actions.
• Provide AI coworkers with isolated execution environments and govern their browser, file, and tool actions.
• Authorize multi-agent requests using the complete delegation chain so an unintended subagent cannot use a propagated credential to access protected data.