Seven Controls to Put in Place Before an AI Agent Gets Production Access

Description and use

<p>AI agents cross a line that ordinary chat systems do not: they connect probabilistic decisions to real actions.</p> <p>An agent that can read mail, update a record, run a tool, or spend money is part of your production control plane. Prompt quality matters, but prompts are not a security boundary. The controls below should exist before an agent receives production access.</p> <h2> 1. Separate read, recommend, and execute </h2> <p>Do not treat "access" as a single permission.</p> <p>Use three distinct stages:</p> <ol> <li> <strong>Read</strong> - retrieve the minimum data needed for the task

Problem

<p>AI agents cross a line that ordinary chat systems do not: they connect probabilistic decisions to real actions.</p> <p>An agent that can read mail, update a record, run a tool, or spend money is part of your production control plane. Prompt quality matters, but prompts are not a security boundary. The controls below should exist before an agent receives production access.</p> <h2> 1. Separate read, recommend, and execute </h2> <p>Do not treat "access" as a single permission.</p> <p>Use three distinct stages:</p> <ol> <li> <strong>Read</strong> - retrieve the minimum data needed for the task

Outcome

<p>AI agents cross a line that ordinary chat systems do not: they connect probabilistic decisions to real actions.</p> <p>An agent that can read mail, update a record, run a tool, or spend money is part of your production control plane. Prompt quality matters, but prompts are not a security boundary. The controls below should exist before an agent receives production access.</p> <h2> 1. Separate read, recommend, and execute </h2> <p>Do not treat "access" as a single permission.</p> <p>Use three distinct stages:</p> <ol> <li> <strong>Read</strong> - retrieve the minimum data needed for the task

Evidence

Seven Controls to Put in Place Before an AI Agent Gets Production Access

Source