Data residency is the requirement or design choice that certain data remains stored or processed within a specified country, region, or legal jurisdiction. For AI systems, the boundary can cover prompts, retrieved records, model inputs, logs, embeddings, backups, and human support access, not only the primary database.
Map every place data moves, including vector databases, logs, and hosted inference providers. Contracts and regions must match the technical route. A regional database does not guarantee regional AI processing.
When does data residency matter?
Residency supports regulatory, contractual, and customer requirements, but it does not replace security or lawful processing. It connects to AI compliance and may drive a sovereign AI strategy. Verify the full data path, including support and backups.
Frequently asked questions
What is data residency used for?
Residency supports regulatory, contractual, and customer requirements, but it does not replace security or lawful processing. It connects to AI compliance and may drive a sovereign AI strategy.
Is data residency the same as data sovereignty?
No. Residency concerns location; sovereignty also concerns legal control, jurisdiction, and operational independence.
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