Blog · Privacy & AI · · 1 min read

Are your ChatGPT conversations really private?

You close the tab. Gone, you assume. In reality, your exchanges are usually retained, sometimes reused to train the models, and they stay accessible from your account for as long as you never delete them yourself. That is the trap. Even your own history turns into a liability the moment it holds names, matter numbers, or client data. The good news: you can cut that risk off at the root.

Without anonymizationat risk
  • Your conversations contain names and data
  • History is retained depending on settings
  • A compromised account exposes your clients
  • Potentially used for training
With anonymizationsafe
  • History contains only tokens
  • Nothing identifying to retain
  • A compromised account does not expose your clients
  • No identity, even if used for training

Note: rétention and usage rules for conversations vary by plan (free, Team, Enterprise) and your settings. Check them. But whatever the policy, what you did not send cannot leak.

The point people forget

The real question is not just whether OpenAI reads your messages. Your history is itself a store of data: let one password leak, one account get hijacked, or one colleague gain access, and everything you ever pasted is exposed in a single stroke. That is the blind spot. A history full of pseudonyms, by contrast, has nothing to give away.

The fix

Pseudonymize before sending. That is the whole trick. Your messages then carry only pseudonyms, and your history does exactly the same, conversation after conversation, without a single exception. What you never transmitted can be neither retained, nor reused, nor leaked. Nothing to leak.

Safe-Doc handles it. Your documents are masked before they ever reach the AI, so your conversations never carry a single piece of identifying data, no name, no address, no client reference. To go further, see the ChatGPT and GDPR at work guide.

A history with not a single client name. The rule fits in three words: pseudonymize before sending.

Part of the guide : Use cases ↗