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AI Security System

How to use AI tools without losing control — narrow tasks, approvals, separating instructions from content, and incident logs.

Ryan 24 min readIntermediate
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1. Start here

Most people think AI security means "don't share passwords." That's only the first layer. The bigger risk is letting AI tools do too much, see too much, or act too freely before you understand how they can be manipulated.

Privacy asks: what should I avoid putting into AI? Security asks a different question: what should AI be allowed to do after I give it access? That matters because AI has moved from chat into tools — reading documents, browsing sites, updating databases, triggering automations.

2. The security system

Narrow every task to the minimum the AI needs, set approvals on anything that acts in the world, and separate instructions from content — the untrusted text an AI reads (emails, web pages, documents) should never be treated as commands. That separation is the core defense against manipulation.

3. Validate, limit, log

Validate outputs before they trigger anything downstream, limit which tools each AI workflow can reach, and log incidents when something behaves unexpectedly — so each surprise tightens the system instead of repeating.

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The complete 24-page field guide — permissions, approvals, and manipulation defenses.

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