Designing architecture that remains compliant while enabling innovation
An architecture guide for platform engineers, AI leaders, and enterprise architects building global AI systems that must meet strict data residency requirements without slowing innovation.
Why AI and agent-based systems introduce new data residency risks and why traditional application architectures struggle to enforce where data is processed, stored, and observed.
The architectural patterns required to enforce data residency at scale, including regional routing, storage segregation, observability controls, and policy enforcement across global AI deployments.
How an AI gateway provides centralized control over models, routing, and observability, enabling organizations to enforce regional compliance guarantees without relying on developer convention.
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