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AI Privacy Best Practices You Can Use Today
AI privacy best practices are mostly habits: minimize data, segment identities, verify policies, and delete what you no longer need.
Key takeaway: AI privacy best practices are mostly habits: minimize data, segment identities, verify policies, and delete what you no longer need.
Core AI privacy best practices
- Minimize: paste the smallest snippet that still works
- Segment: separate personal, work, and throwaway profiles
- Verify: read training and retention language yearly
- Delete: clear old threads after projects ship
- Defend: use unique passwords and 2FA on AI accounts
Browser and device practices
Keep the OS updated, prefer a dedicated browser profile for sensitive AI chat, and be careful with clipboard managers that sync prompts to the cloud.
Map practices to Secrypt Settings
| Practice | Secrypt control |
|---|---|
| Minimize retention | Save history toggle / clear history |
| Avoid tool overreach | Allow web search / fetch / images toggles |
| Stable preferences without cloud memory | Persona custom instructions |
| Portability | Export conversations |
Frequently asked questions
What is the #1 AI privacy best practice?
Do not paste secrets. Everything else is secondary.
Do AI privacy best practices block useful work?
Good practices usually improve clarity because you share structure instead of dumps.
Where do I start with Secrypt?
Open Settings, turn off anything you do not need, and start a fresh private thread.
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Try Secrypt
Secrypt is private, uncensored AI chat. No training on your messages. Open a thread when you need discretion more than theater.