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Microsoft adds sovereign cloud controls for data-risk buyers

New Azure tools target governments and large companies seeking more control over encryption keys, local workloads and AI systems.

Microsoft adds sovereign cloud controls for data-risk buyers

Microsoft expanded its sovereign cloud offerings on Tuesday, adding security, governance and AI capabilities for customers seeking tighter control over data location, access and resilience.

The company said the changes build on its digital sovereignty program by letting organizations apply different control levels to separate workloads, rather than shifting all systems into one fixed model. Reaction pending.

Azure keys move outside

Microsoft is introducing a Sovereign Control Panel in Azure to help organizations assess sovereignty posture, identify gaps, apply controls and evaluate workload portability. The panel is scheduled to enter public preview at Microsoft Ignite.

External key management with Azure Managed Hardware Security Module is now generally available, Microsoft said. The feature lets customers keep root encryption keys in hardware they own and operate on-premises or through a trusted third party, extending control beyond Microsoft-operated infrastructure.

The company also said Azure Confidential Clean Rooms are in limited preview, using confidential computing for collaboration on sensitive data. Azure Local is being expanded so customers can run more cloud capabilities in their own environments, including public previews for connected-to-disconnected workload transitions, DocumentDB and Blob Storage.

On AI, Foundry Local is scheduled to become generally available at Microsoft Ignite for connected and disconnected operations on Azure Local. Microsoft said it will support local inference and agentic retrieval in natural language, using models from Microsoft, partner networks and the open-source community.

The next checkpoint is Microsoft Ignite, when the Sovereign Control Panel and Foundry Local updates are scheduled to move into customer-facing availability stages.

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