Data sovereignty and compliance: securing AI in the public sector

For local authorities and public organizations, the integration of artificial intelligence raises major questions of data sovereignty, confidentiality and regulatory compliance. Faced with GDPR and the new European AI Act, the public sector must lead the way.

Here is how sovereign architectures and local hosting can combine technological innovation with robust protection of citizen data.

1. The risks of non-European AI in the public service

Using AI tools hosted outside the European Union presents major legal and security risks. Data sent to third-party servers may be reused for training future models or subject to extra-territorial laws (such as the US Cloud Act).

For the public sector, which processes civil status data, social records or medical information, this lack of control is unacceptable.

2. The sovereign alternative: host locally or in Europe

Today, it is entirely possible to deploy high-performance language models (like Llama or Mistral) on your own infrastructures or with certified SecNumCloud hosts in France.

This approach ensures that no user data leaves the national territory. You remain the sole owner and guardian of your data, while benefiting from the power of recent AI models.

3. Guarantee GDPR compliance through Privacy by Design

Every AI system that processes personal data should undergo a data protection impact assessment (DPIA). At Butine Groupe, we address these requirements during discovery and planning:

Anonymization and filtering: Automatic cleaning of personal data (names, telephone numbers, emails) before sending to the model.
User transparency: Clear information for citizens on the use of AI and maintenance of systematic human supervision.
Right to erasure: Design of systems where conversation histories can be purged at any time.

4. Prepare for the European AI Act

The new European regulation on AI (AI Act) classifies applications according to their level of risk. Many use cases in the public sector (such as triaging applications or evaluating users) fall into the “high risk” category, imposing strict control obligations.

Understanding and anticipating these rules can build solid, long-lasting projects that are protected from future financial or administrative sanctions.

Conclusion: trust as a driver of innovation

Digital sovereignty and respect for privacy are not obstacles to innovation, but the essential foundations of user confidence in their public services. By choosing controlled and compliant AI solutions, you modernize your local authority securely.