Use AI on your data without sending it to OpenAI
Yes, you can put an AI to work on your contracts and emails without them ever leaving your control. Encrypted cloud or fully sovereign: the guide.
Yes: an AI can work on your confidential documents without sending them to a public ChatGPT. The key isn't the model — it's where your data lives and who can read it. Two safe options exist: zero-retention encrypted cloud, or a sovereign model hosted on your own infrastructure.
The real risk: personal ChatGPT
Today, 77% of employees already paste internal data into personal AI tools, outside any control. That's where the leak is — not in a managed solution.
Two safe options
- Encrypted cloud (zero-retention): a model like Claude, in its enterprise tier, with a no-training commitment and encryption. Fast to deploy, no infrastructure to manage.
- Sovereign (on-premise): an open-weights LLM (Mistral, Qwen, Llama) hosted on your servers or in a European data center. No data leaves. Ideal for regulated sectors.
GDPR & the EU AI Act: what changes in 2026
The bulk of the EU AI Act's obligations apply in August 2026: transparency, traceability, human oversight. Combined with GDPR, this makes a US-cloud AI on sensitive data legally risky. A controlled architecture — European hosting, audit trail, sourced answers — meets these requirements.
Everyone sees only their scope
Security plays out at the moment the AI retrieves information: a salesperson must never see a payslip. Role-based filtering at the retrieval layer (not just the interface) is non-negotiable.
Encrypted cloud or sovereign, role-based access, sourced answers: that's Enterprise Memory. Request a free audit.
Conclusion
The right move isn't to ban AI, but to frame it: your data stays home, the AI comes to it. Also read: RAG or fine-tuning.