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Is my data safe with AI?


The real question before plugging AI into your business: where does your data go, who can see it, is it used to train models — and the simple habits to stay comfortable.

By Hugo Lahutte· ·~5 min read
  • 1 In 30 seconds
  • 2 The body, visual
  • 3 Go deeper

1. Where does my data go?

When you use AI, your messages go to the provider's servers — just like any online service. They travel encrypted (the HTTPS padlock), so nobody reads them "on the wire" between you and the service.

Two reassuring things to know: by default, an assistant doesn't "retain" your data from one conversation to the next (unless you activate a memory feature), and it's not connected to your tools unless you explicitly connect it. The real question isn't "is it in the cloud?" — it is, just like your email — but "who can see it, and what does the provider do with it?" That's where the plan you choose makes all the difference.

2. Is it used to train AI?

That's the classic concern — and the answer depends entirely on the plan you're using:

  • On consumer plans (often free), your conversations may be used to improve models. It's generally opt-outable in privacy settings — but you have to actually go do it.
  • On pro, enterprise, and API plans from major providers, the default commitment is to not train on your content, often with contractual guarantees.

Policies vary by provider and evolve over time: the right habit isn't to take their word for it — it's to check the "training" clause of your plan. Some providers, including Anthropic (Claude), put privacy at the center of their positioning — but that's something to verify, not assume.

Same model, two different contracts. For professional use, take the pro plan — and read the "training" clause.

3. What about data sovereignty / GDPR?

For most use cases of a retailer or SMB, a serious pro plan is enough. But if you handle regulated or strategic data (health data, HR, sensitive customer files), you can step it up:

  • require European hosting (GDPR concern);
  • turn to a European provider like Mistral;
  • or run an open model on your own server (nothing leaves your infrastructure) — at the cost of more complexity.

It's a trade-off: the more control you want, the more time and resources it takes. There's no need to deploy sovereign infrastructure to write product descriptions.

4. The simple habits

In practice, 90% of your peace of mind comes from four habits:

Nothing complicated: the right plan, the right settings, a bit of hygiene, and sovereignty reserved for what's truly sensitive.

This guide provides general pointers, not legal advice: for a specific regulated case, have it reviewed by a DPO or a lawyer.

Let's talk

Unsure about your data?

If you're hesitating to plug AI into your tools because of data concerns, let's talk — often the right plan and two settings are all it takes. I document everything in public, with nothing to sell.