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How to test an AI agent's tool authority with security principles with Enterprise System Design

Apply the zero-trust AI execution principle to each tool call an agent can make.

Who it is forA security reviewer approving an AI agent that can call tools or change systems.

The problemAn authentic control is often assumed to prove that the intended object and consequence were authorized.

The outcomeA list of consequences a compromised proposer could cause, each paired with the capability check that stops it.

What you need first

  • git installed, to clone the repository
  • A Markdown reader or code editor to read the chapters

Steps

  1. Run git clone https://github.com/DrHazemAli/enterprise-system-design.git
  2. Run cd enterprise-system-design
  3. Open principles/cybersecurity/01-zero-trust-ai-execution.md and read it.
  4. Take the governing question for P03 from the principles domains table and answer it for the target agent.
  5. Write one checklist item per tool the agent can call, naming the fresh, target-bound capability each call needs.

Prompt for your agent

Using the enterprise-system-design repository, read principles/cybersecurity/01-zero-trust-ai-execution.md and answer its governing question for <target agent workflow>. Output a list of each tool call the agent can make with the fresh, target-bound capability it needs. Verify that no tool call appears without a named capability check.

Caveat. The principles are reasoning guidance, so the review still needs your own system's controls and evidence to confirm each check.

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