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Home GREEN

How sovereign cloud balances cloud benefits and data sovereignty

dcdby dcd
July 11, 2025
Reading Time: 6 mins read
in GREEN, UK&IRELAND
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In today’s digital economy, organizations operate far beyond traditional office boundaries. Applications and services run across global networks, moving data widely to deliver speed, scale, and performance.

But as data becomes the new currency, understanding exactly where data resides and who controls it has become a critical business priority. This is why data sovereignty has become a central concern for business leaders.

Why data sovereignty is now a boardroom issue

Data sovereignty means data is governed by the laws of the country where it’s collected, stored, and processed. This protects national security, critical infrastructure, and individual privacy, making it a priority not just for IT teams but for business leaders and boards.

Gartner predicts that 30 percent of multinationals will suffer revenue loss, brand damage, or legal action by 2025 if they fail to manage digital sovereign risk properly. Sovereignty isn’t just compliance; it’s essential to corporate resilience.

Regulations such as EU GDPR, UK GDPR, the US’ CCPA, and NIS2 are evolving to give people more control over how their data is handled. Businesses must keep up – not only to stay compliant but to earn the trust of customers and partners. Sovereignty has moved from a compliance checkbox to a strategic business imperative.

If data is the new oil, then managing it responsibly is the new power. The organizations that control how and where their data is stored will be the ones shaping the future.



AI workloads

– Getty Images

The rise of AI and sovereign “neo cloud” deployment

Artificial Intelligence has added urgency to the data sovereignty conversation. Gartner predicts that by 2027, 70 percent of enterprises adopting generative AI will cite digital sovereignty (and sustainability) as a top criterion for choosing cloud generative AI services. This showcases how sovereignty now extends into complex AI workflows – training, inference, and data management.

Training large-scale AI models involves processing massive volumes of sensitive data, often across borders and third-party platforms, raising concerns around data ownership, jurisdiction, and legal responsibility.

The distinction between training data and inference data (i.e., the real-time processing of data by already trained models) is now a key legal and operational concern. Enterprises deploying AI in the cloud need to ensure personal or regulated data doesn’t leave its country or region of origin.

This has sparked interest in sovereign AI infrastructure, built for AI workloads within strict legal boundaries. These ensure all stages of the AI lifecycle, from ingestion and training to inference and storage, comply with local data laws.

The challenge with cloud infrastructure

Cloud services have revolutionized how businesses scale, but they also complicate data location. Traditional cloud environments often move data across borders to optimize performance or cost, making compliance harder to guarantee.

This is a growing concern for industries bound by regulatory requirements, such as healthcare, government, and finance. A recent example is the sovereign cloud initiative in Azerbaijan, where AzInCloud, developed by AzInTelecom, worked to ensure national data remains within the country’s borders.

This collaboration reflects a broader trend: governments and enterprises are increasingly turning to sovereign cloud solutions to enhance control, security, and compliance. That’s where sovereign cloud becomes critical.



Cloud infrastructure

– Getty Images

What sovereign cloud really means

A sovereign cloud ensures data stays within a specific jurisdiction, like Germany or the EU. Sovereign cloud providers maintain physical infrastructure and support teams located locally, ensuring data never crosses borders without explicit permission. True sovereignty involves a full-stack approach: locally hosted infrastructure, in-country support, customer-specific access controls, and alignment with regional compliance standards.

Sovereign cloud environments must also be flexible, supporting both public services that follow local regulations and private deployments tailored to specific organizational needs. It’s this flexibility that allows infrastructure providers to support compliance and performance requirements across diverse regions and industries.

Why data sovereignty is about more than compliance

Meeting regulatory requirements is table stakes. But the real business case for sovereignty goes deeper.

Customers care about where their data is stored, who has access, and how secure it is. In an era of increasing digital awareness, being able to say “your data never leaves the country” is a powerful brand differentiator, building loyalty and trust, especially in sectors where data sensitivity is high.

There’s also a performance advantage. By deploying cloud resources closer to users and within legal boundaries, businesses can reduce latency, improve service reliability, and gain more control over their infrastructure.

And as more organizations align with ESG goals and ethical tech principles, data sovereignty becomes part of a broader commitment to responsible digital operations.

Customers care about where their data is stored, who has access, and how secure it is.

What to look for in a provider

If you’re considering a move to sovereign cloud, here’s what to ask infrastructure providers:

1) Do they have in-country data centers and Points of Presence (PoPs)?

Sovereign cloud depends on keeping data within national borders. Providers with local data centers and PoPs can ensure that your data doesn’t cross jurisdictions, reducing regulatory risk and improving latency for local users.

2) Can they build private cloud environments tailored to your specific compliance needs?

While public cloud services can meet many needs, highly regulated industries often require more control. Private deployments, especially those customized for industry-specific standards, offer greater data isolation, governance, and the ability to meet evolving legal obligations.

3) Do they offer integrated security services to protect data in real time?

Security is a core pillar of sovereignty. Sovereign cloud solutions combine local data centers, strict access controls, and compliance with regional laws. They use technologies like encryption, edge computing, and real-time security tools (e.g., DDoS protection, firewalls) to safeguard data. These layers work together to keep data inside legal borders while maintaining cloud performance and flexibility.

4) Are they transparent about where data is stored, processed, and accessed?

Transparency isn’t optional. It’s foundational. Your provider should give you a clear view of the full data lifecycle, including who can access your data and under what legal frameworks. This is key for maintaining compliance and building trust with customers and regulators alike.

Data sovereignty is no longer just a legal or technical issue. It’s a fundamental part of business strategy and digital trust. With countries tightening enforcement and expanding rules, enterprises must act now to adopt sovereign cloud solutions that ensure compliance, security, and customer confidence.

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Read the orginal article: https://www.datacenterdynamics.com/en/opinions-data-center-dcd-industry-views-comment/how-sovereign-cloud-balances-cloud-benefits-and-data-sovereignty/

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