Data Residency and Compliance Enforcement

Compliance in NativelyAI is enforced at execution time, not documented after the fact.

Every workload carries explicit data residency and compliance metadata derived from the original intent and organizational policies. This metadata governs where execution is allowed to occur and which resources may interact with the data.

Key mechanisms include:

• Geo-fenced execution, ensuring workloads run only in approved regions

• Policy-aware scheduling, preventing deployment on non-compliant infrastructure

• Immutable audit trails capturing every execution step

• Access-bound inference, restricting which models may process sensitive data

Because these rules are enforced by the orchestration layer itself, compliance does not depend on developer discipline or manual reviews. The system simply refuses to execute actions that violate policy.

This approach enables regulated organizations to adopt AI without expanding their compliance surface.