AI Privacy System
What not to put into AI — classify your data, redact before pasting, keep secrets out, and check tools before trusting them.
1. Start here
AI gets more useful when you give it context — and that's exactly where people get careless. Customer emails, contracts, API keys, financial data, medical details, internal docs — pasted into whatever AI tool is closest. Sometimes that's fine. Sometimes it isn't. The difference isn't whether AI is "safe" in general; it's whether the data, the tool, the settings, and the use case match.
The rule: don't give AI data it doesn't need, and don't give sensitive data to a tool you haven't checked.
2. The privacy system
Classify data into tiers — public, internal, sensitive — each with its own AI-use rule. Limit what each tool can access, redact before pasting (AI usually needs the shape of the problem, not the real names and numbers), and keep secrets — keys, passwords, credentials — out entirely, always.
3. Check tools, log mistakes
Before trusting a tool with anything sensitive, check how it handles training, retention, and sharing settings. And when a mistake happens — something pasted that shouldn't have been — log it and adjust the rule, so the system gets safer instead of repeating the slip.