Human in the Loop Control for OpenClaw
Some agent actions are too consequential to leave to policy alone. This post describes a new OpenClaw demo that uses Cedar and a Yubikey to put a human in the loop, binding each approval to the exact action being approved. Because the control lives in the harness rather than the prompt, the agent can't reason its way around it.
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Delegation as Data: Applying Cedar Policies to OpenClaw Subagents
Intra-domain delegation enables an agent to grant constrained authority to subagents without expanding the system’s trust boundary. In the OpenClaw + Cedar demo, delegation is modeled as data and enforced by a stable policy set, preserving policy integrity while allowing dynamic scoping of power.
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A Policy-Aware Agent Loop with Cedar and OpenClaw
This article demonstrates how to move authorization inside the agent loop by inserting a Cedar-backed policy decision point into OpenClaw, so that every tool invocation is evaluated at runtime. Instead of acting as a one-time gate, authorization becomes a continuous feedback signal that guides replanning and enforces Zero Trust principles for agentic systems.
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