Digital sovereignty applied to artificial intelligence

Digital sovereignty means keeping control of your data, your tools and your technology choices, without depending on a foreign provider or extraterritorial legislation. Applied to AI, it rests on three pillars: where the data lives, which regulation applies, and who controls the model.

The three pillars of sovereign AI

1. Data location

Your data and your processing stay in the European Union, subject to European law alone. No transfer outside the EU, and therefore no exposure to the US CLOUD Act, which lets US authorities demand access to data held by American companies, wherever it is stored.

2. Regulatory compliance

Two texts govern the use of AI in Europe: the GDPR (protection of personal data) and the AI Act (regulation of AI systems). A sovereign AI is designed to comply with both by construction, not as an afterthought.

3. Control over the model

The model (LLM) is open weight or open source, executed on your infrastructure. No black box, no telemetry, and no dependency on a vendor who could change its pricing or its terms.

Sovereign vs public AI: what really changes

✓ Sovereign AI Your data AI in the EU under your control Closed loop: nothing leaves your perimeter. ✗ Public AI (US) Your data Vendor servers (US) subject to the CLOUD Act Your data leaves the EU ↗
With sovereign AI the data stays in a closed, controlled perimeter. With public AI it goes to the vendor.
CriterionSovereign AIPublic AI (US)
Data locationEuropean UnionVendor servers (often US)
CLOUD ActNot applicablePossible exposure
Control over the modelFull (open weight)None (black box)
ReversibilityCompleteLimited
GDPR / AI Act documentationProvidedDepends on the vendor

Go deeper

Further resources on GDPR, the AI Act, LLM models and our interactive tools are currently available in French.

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