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Design a policy and audit firewall layer for my AI agent system between the agent and the credential broker. The goal is to allow execution only when the action matches the user's original request and passes authorization checks, while recording audit logs. Provide architecture recommendations, key policy rules, and audit fields.

An implementation plan covering architecture, authorization checks, intent-binding rules, and audit logging design.

Help me define policies to restrict AI agents from using privileged credentials for high-risk actions such as deletion, money transfers, or production changes. Requirements: deny by default, and allow only with explicit human approval, scoped permissions, and complete audit records. Output example policies.

A set of example control policies for high-risk actions, including approval conditions, permission boundaries, and audit requirements.

I want to verify whether an AI agent's actions deviate from the user's original intent. Design an audit approach: how to store the original intent, compare later actions against it, flag violations, and define log fields and alert rules suitable for security review.

An audit framework for intent tracking, deviation detection, violation tagging, and security alerting.