GDPR AI / data privacy

GDPR-oriented AI starts with data privacy by architecture.

For companies handling personal data, contracts, HR files, financial data or sensitive industrial knowledge, private inference and data isolation can reduce unnecessary exposure to external AI processors.

01

Data protection by default

Local processing limits what leaves the organization and supports stricter governance.

02

Data isolation

Separate models, indexes and logs according to users, teams or sensitivity levels.

03

Audit-ready foundations

Keep clearer traces of where data is processed, stored and retrieved.

Key concepts are explained in the page content instead of being exposed as a raw keyword list.

Related strategic topics

Continue to adjacent pages covering cost, sovereignty, compliance, RAG and local deployment.