v0.5 Module

Policy-as-Code Workbench

Simulate deterministic guardrail decisions before an agent accesses tools, data, external channels, or production workflows.

Why this matters

Enterprise agentic systems need enforceable controls outside the prompt. This workbench demonstrates how a policy layer can allow safe paths, require approval for risky actions, or deny unsafe requests.

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Sample request

Select a sample or edit the JSON directly.

Policy decision

Select a sample and run the policy check.

Required controls

Required evidence

Triggered policies