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Advancing digital sovereignty with greater control and choice

Across my conversations with leaders in government, critical infrastructure and regulated industries, one priority consistently rises to the top: putting technology to work on their most important systems while maintaining the control those systems require.

This challenge is becoming more important as advanced cloud and AI capabilities move into public services, regulated processes and essential operations. Organizations are considering more than where data resides. They also seek to understand who can access and operate their systems, how sensitive digital assets remain protected, which technology dependencies matter most and whether critical services can continue as regulatory, geopolitical, security or network conditions change. Digital sovereignty should give organizations greater control and security over the technology they depend on, while continuing to innovate.

Last year, we introduced Microsoft Sovereign Cloud to give customers more choice in how they address these requirements. Since then, we have continued to turn our commitments into practical capabilities across public cloud and customer-operated environments, while expanding how we enable partners to address sovereignty requirements in their local markets. Today, we are sharing the next stage of that work.

A continuum of control, built around the workload

Microsoft Sovereign Cloud diagram showing a continuum of sovereignty solutions across three areas: Sovereign Public Cloud for control, data protection and regional requirements; Sovereign Private Cloud for critical workloads across connected and disconnected environments; and the Sovereign Partner Ecosystem for trusted, locally operated and specialized solutions.

Our approach to digital sovereignty starts with the workload. Each workload carries different requirements for data, operations, technology dependencies, continuity and risk. Microsoft Sovereign Cloud is designed to make it easier for organizations to apply the appropriate level of control to each workload without forcing every application into the same deployment model.

Those needs can vary widely across organizations. A public-facing digital service may benefit from the scale and pace of innovation in the public cloud. A system supporting essential operations may need to continue running locally if connectivity is disrupted. An AI workload handling highly sensitive data may require models, data and processing to remain within a customer-controlled environment.

Microsoft Sovereign Cloud is designed around this workload-based approach, providing a continuum of management, control and options across Sovereign Public Cloud, Sovereign Private Cloud and the Sovereign Partner Ecosystem. Organizations can apply the level of control appropriate to each workload while maintaining a consistent approach to governance and operations across their digital estate. Sovereign Public Cloud adds capabilities for workloads that require greater control and transparency while continuing to benefit from the scale and innovation of Azure.

Sovereign Private Cloud extends cloud capabilities into customer-operated environments, including connected and disconnected operations. The Sovereign Partner Ecosystem broadens the continuum through independently operated environments, specialized partners, locally relevant expertise and technologies that support customers’ sovereignty requirements.

These are not isolated destinations. Customers can combine public cloud, private cloud and partner capabilities across their digital estate, applying different levels of control to different workloads as their operating needs evolve.

Making control more visible in Sovereign Public Cloud

For many workloads, the public cloud provides a combination of scale, innovation, integrated security and compliance. Organizations can benefit from these capabilities while applying additional sovereignty controls for residency, confidentiality, operator access, policy and continuity. Our work in Sovereign Public Cloud makes these controls easier to understand, apply and demonstrate.

Sovereign Control Panel, entering public preview at Microsoft Ignite, brings these signals together in a unified Azure portal experience. It helps organizations understand their sovereignty posture, apply and manage controls, identify gaps and risks and take action to address them. It also supports business continuity readiness by helping customers understand workload dependencies and assess portability across operating environments when required.

This visibility complements controls across the operator-access lifecycle. Just-in-time Access and Customer Lockbox give customers additional control over access to their environments. For customers in the European Union (EU) and the European Free Trade Association (EFTA), we are rolling out Data Guardian, which adds European-resident oversight by a trusted EU partner for qualifying Microsoft engineer remote access to in-scope production systems. Production Touch Ledger, also launched with phased rollout in the EU and EFTA, creates tamper-evident records of that access and the actions performed.

Azure Key Vault Managed Hardware Security Module (HSM) already gives customers dedicated, single-tenant protection and control over the encryption keys used by supported Azure services. Last year, we committed to extending that control beyond Microsoft infrastructure. External key management with Azure Managed HSM is now generally available, allowing customers to keep the root encryption key in hardware they own and operate on-premises or through a trusted third party. This gives organizations another option for workloads that require physical control of key hardware outside Microsoft infrastructure.

Azure confidential computing helps protect supported data while it is processed in a hardware-based and attested trusted execution environment. We are also increasing transparency into the technologies that underpin that trust. Azure Confidential Clean Rooms, now in limited preview, applies confidential computing to approved multiparty collaboration, allowing participants to analyze shared sensitive data while limiting broader exposure of the underlying information.

Together, these capabilities provide additional technical and operational controls that can support a broader digital sovereignty strategy aligned to an organization’s legal, policy, security, resilience and business requirements.

Designing for resilience and operational independence

For some workloads, digital sovereignty also means maintaining critical operations as connectivity, geopolitical and operating conditions change. Resilience must be designed from the start so essential workloads can continue operating through disruption.

To help customers prepare for these scenarios, we are publishing new sovereign business continuity guidance and architecture patterns. These resources help organizations translate resilience requirements into architectures they can plan, implement and test before they are needed.

For many workloads, the scale and geographic reach of the public cloud provide a strong foundation for resilience across locations and operating conditions. For workloads that require greater operational independence, Sovereign Private Cloud extends that continuum into customer-operated environments. It supports connected and disconnected operating models. The ability to transition workloads from connected to disconnected operations is entering public preview, giving organizations greater flexibility to sustain critical services as connectivity and operating requirements change.

Bringing more of the application lifecycle under local control

Operational independence requires more than infrastructure. Increasingly, organizations need data, development tools, model capabilities and productivity services their applications depend on to operate within the same customer-controlled environment.

Sovereign Private Cloud, built on Azure Local, extends Microsoft cloud capabilities into environments that customers operate and control. SQL Server on Azure Local is already generally available for connected and disconnected deployments. DocumentDB and Blob Storage on Azure Local are both entering public preview, giving organizations more choice in how they run and manage critical data within customer-controlled environments.

GitHub Enterprise Local will become generally available at Microsoft Ignite as a validated GitHub Enterprise Server appliance on Azure Local, helping organizations keep repositories, code and development artifacts under local control. Developers can also use GitHub Copilot with locally hosted models for inference, bringing AI-assisted development closer to their code and data within the environments they control.

The local application environment is expanding with Foundry Local. At Ignite, Foundry Local will become generally available for connected and disconnected operations on Azure Local, with an expanded model catalog that includes Microsoft, partner, open-weight and open-source models. Local inference and agentic retrieval will also enable users to interact with local enterprise data using natural language and receive responses grounded in that data. Integration with Microsoft 365 Local, available in preview for approved customers, extends this functionality to locally operated Microsoft SharePoint and Exchange servers.

Confidential virtual machines on Azure Local are generally available, extending confidential computing capabilities to customer-controlled infrastructure. Hardware-encrypted memory and hardware-based isolation help protect sensitive data while it is being processed. Workload attestation adds assurance before sensitive data or keys are released. For regulated, sensitive and mission-critical workloads, these safeguards provide another layer of protection while giving organizations greater control over where their data and applications run.

Azure Local will support multitenancy, allowing organizations to separate resources, governance and management across multiple tenants while sharing the underlying infrastructure. This significantly expands what customers with distinct business units or security boundaries can achieve with Sovereign Private Cloud. Multitenancy also creates new opportunities for local operators and service providers to deliver differentiated sovereign cloud services on Azure Local infrastructure.

These additions bring more of the application lifecycle under local control, spanning data, development, productivity, AI and operations. Organizations can determine what runs locally based on the requirements of each workload.

Extending the continuum through partners

Graphic titled "Sovereign Partner Ecosystem" with the subtitle "National clouds · Software · Services · Platform co-innovation," showing 32 partner logos: Accenture, AMD, Armada, Avanade, base-it, Bleu, Capgemini, Cirrus Data, CloudCasa by Catalogic, Cronos Groep, cTelecoms, DataON, Delos Cloud, Dell Technologies, F5, Felo, Fortinet, HPE, Inspark, Intel, Lenovo, Mattermost, Mistral, NVIDIA, Qualidev, Qumulo, RiverMeadow, Rubrik, Supermicro, Tata Consultancy Services (TCS), Veeam and WSO2.

Navigating sovereignty is increasingly complex. Regulatory, security, operational and business requirements vary across countries, industries and workloads. Organizations must translate these needs into technology and operating models that work in their local context. Meeting these needs often requires a combination of technology, local operating authority, sector expertise and specialized solutions.

The Sovereign Partner Ecosystem broadens the ways customers can address these requirements. National Partner Clouds, including Bleu Cloud in France and Delos Cloud in Germany, provide independently operated environments for customers that require a different ownership and operating model. Software partners can enhance Azure Local environments with capabilities across security, identity, observability, backup and recovery, migration, data, networking and applications. Digital sovereignty specialized partners combine Microsoft technologies with local knowledge and implementation expertise. Platform co-innovation partners expand infrastructure choice from datacenter to the edge.

This ecosystem gives customers the flexibility to combine technology, operating models and trusted expertise based on the requirements of each workload.

The next chapter of digital sovereignty

AI is amplifying both the opportunity and the impact of technology choices. As AI systems and agents interact with sensitive data, business processes and essential infrastructure, they also expand the security considerations organizations need to manage. Organizations need clear control over where these systems run, who can operate them, what actions they can take and how critical services continue when conditions change.

Microsoft Sovereign Cloud brings these choices together as a continuum of control across the public cloud, customer-operated environments and our partner ecosystem. It gives organizations the flexibility to apply the appropriate level of control to each workload while continuing to benefit from cloud capabilities and ongoing innovation.

We will continue to expand this continuum so organizations can innovate with cloud and AI while maintaining the control, confidentiality, resilience and operational authority their most important workloads require.

Douglas Phillips leads global engineering efforts for Microsoft’s specialized, sovereign and private clouds. He is responsible for Microsoft’s global strategy, products and operations that bring Microsoft’s industry-leading solutions, including Azure, our adaptive cloud portfolio and Microsoft 365 collaboration suite, to customers with additional sovereignty, security, edge and compliance requirements.

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The post Advancing digital sovereignty with greater control and choice appeared first on The Official Microsoft Blog.

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Microsoft Sovereign Private Cloud scales to thousands of nodes with Azure Local

Today, I am pleased to announce that Azure Local now scales to support deployments of up to thousands of servers within a single sovereign environment, allowing organizations to run much larger workloads locally across large-footprint datacenters, industrial environments and edge locations while maintaining control within their sovereign boundary.

Organizations operating national infrastructure, regulated workloads or mission-critical services are navigating a fundamental shift in how cloud infrastructure must be deployed and managed. As digital sovereignty postures evolve and regulatory requirements tighten across regions, infrastructure strategies are increasingly shaped by the need to maintain jurisdictional control over data, operations and dependencies. At the same time, AI and data-intensive applications are moving closer to where data is generated, requiring infrastructure that can scale to support larger deployment footprints while maintaining operational control, compliance and data residency requirements within sovereign environments.

Azure Local is the foundation for Microsoft’s Sovereign Private Cloud, allowing organizations to run cloud-consistent infrastructure on hardware they own and operate within their sovereign boundary. It supports deployments across connected, intermittently connected or fully disconnected environments. With Azure Local disconnected operations, customers retain the ability to apply policy enforcement, role-based access control, auditing and compliance configuration locally, allowing them control over how infrastructure is configured, secured and updated regardless of public cloud connectivity.

Scaling Sovereign Private Cloud

Sovereign Private Cloud deployments must scale to support not only larger workloads, but also the operational requirements of national infrastructure and regulated industries. Azure Local allows organizations to grow deployments from hundreds up to thousands of servers within a single sovereign boundary, allowing infrastructure to expand alongside demand without requiring architectural redesign.

As deployment footprints grow, resiliency becomes essential to maintaining continuous operations for mission critical services. Expanded fault domains and infrastructure pools help prevent hardware failures from resulting in service outages, ensuring critical workloads remain operational across environments with varying levels of cloud connectivity.

At these larger scale points, organizations can run data-intensive AI inference and analytics workloads entirely within their own environment. With support for high-performance graphics processing unit (GPU) infrastructure, sensitive models and operational data remain within customer-controlled infrastructure, while access management, auditing and compliance controls are maintained within the sovereign deployment.

Built for challenging workloads 

Increased deployment scale unlocks new workload placement opportunities, from large sovereign private cloud deployments to distributed AI workloads, allowing organizations to run more data intensive and latency sensitive applications entirely within their sovereign boundary.

AT&T, one of the world’s largest telecommunications operators, is deploying Azure Local to run mission-critical infrastructure on hardware they own in their environment. The goal: full operational control while running at the scale the business demands.

“Azure Local provides the infrastructure foundation we need to run critical operations at scale, while ensuring control and governance across our environment. The consistency of the Azure operating model, delivered on our own infrastructure, is key as we continue to modernize while delivering reliable services to our customers.”

— Sherry McCaughan, Vice President – Mobility Core Services, AT&T

Kadaster, the Netherlands’ official land registry and mapping agency, is running Azure Local to keep sovereign control over some of the country’s most sensitive public data.

“As a government agency responsible for some of the Netherlands’ most sensitive data, we need infrastructure that gives us full control over where our data lives and how it’s governed. Azure Local has been a consistent foundation for that — and as our workloads grow in scale and complexity, the platform has grown with us.”

— Maarten van der Tol, General Manager, Kadaster

FiberCop, Italy’s most advanced and extensive digital network operator is deploying Azure Local across its edge locations to bring sovereign cloud and AI services to organizations throughout the country. Fabio Veronese, Chief Information & Technology Officer commented:

“FiberCop is better positioned than any other player on the Italian market to drive innovation and deliver cloud as well as AI services at national scale. Azure Local supports our mission to drive Italy’s digital future and brings Microsoft’s cloud capabilities to edge workloads across the country while keeping data sovereignty and compliance where they matter most.”

The infrastructure behind Sovereign Private Cloud

Azure Local is available today with validated compute and enterprise storage platforms from partners including DataON, Dell Technologies, Everpure, Hitachi Vantara, HPE, Lenovo and NetApp, allowing organizations to integrate existing Storage Area Networks (SAN) and preserve prior investments while allowing compute and storage resources to scale independently within their sovereign environment.

At the silicon level, Intel®  Xeon® 6 processors provide the compute foundation for the platform. Built for the density and performance demands of modern enterprise workloads, Xeon 6 also brings built-in AI acceleration with Intel® AMX, meaning organizations running inference or generative AI workloads within their sovereign environment do not need to introduce separate, specialized infrastructure to do so.

Together, Azure Local, validated compute and enterprise storage platforms, accelerated computing platforms and underlying silicon can provide a datacenter-scale stack that supports sovereign infrastructure deployments while helping ensure data, models and execution remain within customer-controlled environments.

Sovereign infrastructure built for your requirements

Azure Local was built to meet customers where their requirements are whether that means strict data residency, disconnected operations, regulated workloads or AI running close to where data is generated. As these requirements evolve across regulated industries and governments worldwide, Sovereign Private Cloud deployments can expand from a single node at the edge to large enterprise-scale datacenter environments, running on hardware organizations own and operate, with consistent lifecycle management through Azure.

Resources:

Douglas Phillips leads global engineering efforts for Microsoft’s specialized, sovereign and private clouds. He is responsible for Microsoft’s global strategy, products and operations that bring Microsoft’s industry-leading solutions, including Azure, our adaptive cloud portfolio and Microsoft 365 collaboration suite, to customers with additional sovereignty, security, edge and compliance requirements.

The post Microsoft Sovereign Private Cloud scales to thousands of nodes with Azure Local appeared first on The Official Microsoft Blog.

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Microsoft Sovereign Cloud adds governance, productivity and support for large AI models securely running even when completely disconnected 

As digital sovereignty becomes a strategic requirement, organizations are rethinking how they deploy critical infrastructure and AI capabilities under tighter regulatory expectations and higher risk conditions. Microsoft’s approach to sovereignty is grounded in enabling enterprises, public sectors and regulated industries to participate in the digital economy securely, independently and on their own terms. The Microsoft Sovereign Cloud brings together productivity, security and cloud workloads to span both public and private environments. Customers can choose the right control posture for each workload, through a continuum of sovereign options protecting against fragmenting their architecture or increasing operational risk. Trust is built on confidence: confidence that data stays protected, controls are enforceable and operations can continue under real-world conditions.  

To support these confidential environments, Microsoft offers full stack capabilities that support customers across connected, intermittently connected and fully disconnected modes. Today’s expansion of capabilities includes three major updates:

  • Azure Local disconnected operations (now available) – Organizations can now run mission-critical infrastructure with Azure governance and policy control, with no cloud connectivity, optimizing continuity for sovereign, classified or isolated environments. 
  • Microsoft 365 Local disconnected (now available) – Core productivity workloads, Exchange Server, SharePoint Server and Skype for Business Server can run fully inside the customer’s sovereign operational boundary on Azure Local, keeping teams productive even when disconnected from the cloud. 
  • Foundry Local adds modern infrastructure capabilities and support for large AI models – Organizations can now bring large AI models into fully disconnected, sovereign environments with Foundry Local. Using modern infrastructure from partners like NVIDIA, customers with sovereign needs will now be able to run multimodal models locally on their own hardware, inside strict sovereign boundaries enabling powerful, local AI inferencing in fully disconnected environments. 
Diagram titled “Sovereign Private Cloud” comparing Connected and Disconnected deployment models. A dashed horizontal line separates “Cloud region” (top) from “On premises” (bottom). On the left (Connected), the control plane resides in the cloud region and connects down to on-premises components, including Foundry Local, Microsoft 365 Local, and Azure Local. On the right (Disconnected), the cloud control plane is absent, and the control plane runs on-premises as an “appliance VM,” directly managing Foundry Local, Microsoft 365 Local, and Azure Local within the local environment.
Run connected or fully disconnected. Sovereign Private Cloud unifies Azure Local, Microsoft 365 Local and Foundry Local, bringing modern infrastructure, productivity and support for large AI models to any operational boundary.

This delivers a truly localized full stack experience built on Azure Local infrastructure and Microsoft 365 Local workloads, designed to stay resilient across any connectivity condition, with large models being part of Foundry Local extending the stack to run advanced multimodal models locally, securely, even when fully disconnected. Customers can now help maintain uninterrupted operations, keep mission critical workloads protected and apply consistent governance and policy enforcement, while keeping data, identities and operations within their sovereign boundaries.

Azure Local runs critical infrastructure locally, even when disconnected 

For workloads with specialized requirements, Azure Local provides the on-premises foundation with consistent Azure governance and policy controls. With Azure Local disconnected operations, management, policy and workload execution stay within the customer-operated environments, so services continue running securely even when environments must be isolated or connectivity is not available. Using familiar Azure experiences and consistent policies, organizations can deploy and govern workloads locally without depending on continuous connection to public cloud services. Azure Local is designed to scale with mission-critical needs from smaller deployments to larger footprints that support data-intensive and AI-driven workloads. Customers can start fast, expand over time and maintain a unified operational model, all within their sovereign boundary.

Operating in disconnected environments surfaces constraints that go beyond traditional cloud assumptions: External dependencies may be unacceptable, connectivity may be intentionally restricted and operational continuity is a business imperative. 

“The availability of Azure Local disconnected operations represents a breakthrough for organizations that need control over their data without sacrificing the power of the Microsoft Cloud. For Luxembourg, where digital sovereignty is not just a principle but a strategic necessity, this model offers the resilience, autonomy and trust our market expects. By combining Microsoft’s technological leadership with Proximus NXT’s sovereign cloud expertise, we are enabling our customers to innovate confidently — even in fully disconnected mode,” said Gerard Hoffmann, CEO Proximus Luxembourg. 

Microsoft 365 Local keeps productivity and collaboration available in fully disconnected environments 

As sovereign environments move into disconnected environments, keeping people productive becomes just as critical as keeping infrastructure online. Building on more than a decade of delivering and supporting these services, Microsoft 365 Local disconnected brings that continuity to the productivity layer, delivering Microsoft’s core server workloads — Exchange Server, SharePoint Server and Skype for Business Server supported through at least 2035 — directly into the customer’s sovereign private cloud.  

With Microsoft 365 Local, teams can communicate, share information and collaborate securely within the same controlled boundary as their infrastructure and AI workloads. Everything runs locally, under customer-owned policies, with full control of data resiliency, access and compliance. By operating with Azure-consistent management and governance, customers get the productivity experience they rely on, designed to stay resilient and secure even when offline. 

Bringing large models and modern infrastructure to Foundry Local 

With the availability of larger models and modern infrastructure as part of the Foundry Local portfolio, Microsoft is enabling customers with highly secure environments the ability to run multimodal, large models directly inside their sovereign private cloud environments. This brings the richness of Microsoft’s enterprise AI capabilities to on-premises systems, complete with local inferencing and APIs that operate completely within customer-controlled data boundaries.  

Expanding beyond small models, the integration of Foundry Local with Azure Local is specifically designed to support large-scale models utilizing the latest GPUs from partners such as NVIDIA. Microsoft will provide comprehensive support for deployments, updates and operational health. Even as inferencing demands increase over time, customers retain complete control over their data and hardware.  

Choice and control without added complexity 

Customers facing strict sovereignty and regulatory requirements are clear that a fully disconnected sovereign private cloud is a key business need. Microsoft Sovereign Private Cloud is designed to meet these needs head-on, enabling secure, compliant operations even in environments with no external connectivity. At the same time, we recognize that disconnected environments are not one-size-fits-all; some customers operate across connected, hybrid and disconnected modes based on mission, risk and regulation. Our approach helps customers to meet strict sovereign requirements in fully disconnected scenarios without compromising simplicity, while retaining flexibility where connectivity is possible. Together, Azure Local disconnected operations, Microsoft 365 Local and Foundry Local help organizations choose where workloads run and how environments are managed, while standardizing governance and operational practices across connected and disconnected deployments. 

Get started 

  • Azure Local disconnected operations and Microsoft 365 Local disconnected are now available worldwide, and large models on Foundry Local are available to qualified customers. 

Douglas Phillips leads global engineering efforts for Microsoft’s specialized, sovereign, and private clouds. He is responsible for Microsoft’s global strategy, products and operations that bring Microsoft’s industry-leading solutions, including Azure, our adaptive cloud portfolio and Microsoft 365 collaboration suite, to customers with additional sovereignty, security, edge and compliance requirements. 

The post Microsoft Sovereign Cloud adds governance, productivity and support for large AI models securely running even when completely disconnected  appeared first on The Official Microsoft Blog.

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