What is data residency in AI?

Data residency is the requirement that data stays within a defined jurisdiction or boundary: a country, a cloud region, or a private environment. For regulated AI workloads it extends to inference itself: prompts, outputs, and fine-tuned weights must not leave the boundary, and egress must be provable.

Residency is enforced by architecture, not policy documents: single-tenant isolation, region-locked serving, zero egress by default, and audit logs on every grant.

South African POPIA, healthcare HIPAA, and EU rules all reduce to the same engineering requirement, which is why Allocate environments are isolated per customer from day one.

Related terms