European hosting is important. But when it comes to data sovereignty, there’s more to consider than where your servers are located.
Imagine sharing a confidential business strategy with an AI assistant. It could contain customer information, financial figures, source code or plans your organisation hasn’t announced yet.
Within seconds, you get a useful response. But have you ever considered where that information goes, or who might be able to access it?
Many AI providers highlight that their customer data is hosted in Europe. And while that’s certainly important, it doesn’t necessarily tell you who controls the service, where support teams are based, who manages the encryption keys or which laws apply.
When sensitive business information is involved, knowing where the servers are located is only part of the story.
European hosting doesn’t always mean European control
There’s an important difference between data residency and data sovereignty.
Data residency refers to where information is physically stored. Data sovereignty goes further. It’s about which jurisdiction applies, who can manage and access the system, and whether an organisation has the ability to refuse or challenge requests for information.
An AI platform might store its data in Frankfurt or Dublin, while the company operating it is still subject to legislation outside Europe. Employees or subcontractors outside the European Economic Area (EEA) may also have remote access.
That doesn’t automatically make the service unsafe. But it does mean that a European server location isn’t necessarily a guarantee of European control.
For organisations working with sensitive information, this is an important distinction to understand.
What does the US CLOUD Act actually mean?
The US CLOUD Act often comes up in discussions about European data sovereignty. Unfortunately, it’s also a topic that tends to be oversimplified.
The CLOUD Act doesn’t give American authorities unrestricted access to data stored on European servers. Legal procedures still apply.
However, it does mean that providers subject to US jurisdiction may be required to preserve or disclose information within their possession, custody or control, even when that information is stored outside the United States.
Does that mean every European organisation using an American AI provider should expect its data to be requested? Of course not.
But the legal possibility is there. And when you’re dealing with medical records, financial information, confidential government data or intellectual property, it’s something worth considering.
This isn’t about suggesting that non-European AI services are inherently unsafe or unlawful. It’s about understanding the legal and technical conditions under which your information is processed and potentially accessed.
There’s more to your AI data than the prompts you enter
When we think about sharing information with AI tools, we usually focus on the text we enter or the documents we upload.
But an AI service can process much more than that. Generated responses, account information, activity logs, backups, embeddings and data accessed through connected applications can all be part of the picture.
It’s also worth paying attention to how providers describe their data policies.
For example, “no training” doesn’t necessarily mean “no retention”.
A provider might promise not to use your information to train its AI models, while still retaining certain data for security monitoring, abuse detection, customer support or legal obligations.
And those conditions may differ depending on whether you’re using a consumer chatbot, an enterprise subscription or an API.
The same goes for encryption. It’s an important security measure, but who controls the encryption keys? And can the provider access the original, unencrypted information?
These are details that aren’t always immediately obvious when choosing an AI platform.
Yet they can make a significant difference in how much control your organisation actually has over its data.
Seven questions worth asking your AI provider
Before introducing sensitive information into an AI system, I believe organisations should have clear answers to a few essential questions.
Here are seven I’d recommend asking:
- Who is actually providing the service?
Which legal entity operates the platform, and which jurisdiction applies? - Where is our data processed and stored?
This includes prompts and outputs, but also logs, backups and other information generated by the system. - Who can access our information?
Can employees, support teams or subcontractors outside the EEA access customer data? - Is our data used for AI training or product improvement?
And do different conditions apply depending on the service or subscription? - How long is our information retained?
What happens to activity logs, backups and conversations we’ve deleted? - Who manages the encryption keys?
Can the provider access our information in an unencrypted form? - What happens if we decide to switch providers?
Can we export our information and obtain confirmation that our data has been deleted?
Not every organisation will have the same requirements. A business using AI for general productivity tasks will have different concerns from a healthcare organisation processing sensitive patient information.
But these questions provide a useful starting point for understanding the risks and making informed decisions.
And if a provider struggles to answer them clearly, that’s something I’d want to investigate before moving forward.
Ultimately, it’s about control
European AI providers have an important role to play in strengthening Europe’s digital independence. But choosing a European provider doesn’t automatically resolve every security or compliance concern.
A European company might still rely on non-European subcontractors, have inadequate security practices or offer contracts that leave important questions unanswered.
Self-hosting isn’t automatically the answer either. Running your own AI infrastructure comes with responsibilities, from managing access and security updates to monitoring systems and responding to incidents.
True data sovereignty requires more than a European address. It means understanding how information moves through a system, having clear agreements about access and responsibilities, managing encryption keys properly and knowing you can move your data elsewhere if needed.
At Euraika, we believe organisations should be able to benefit from AI without giving up control over their information, systems or decisions. That’s why transparency, technological sovereignty and human control are central to how we approach AI.
As AI becomes more deeply integrated into everyday business operations, these considerations will only become more relevant.
So when evaluating an AI provider, don’t stop at asking where the data is hosted. Ask who can access it, under which conditions, and who ultimately remains in control.
Disclaimer: This article provides general information and does not constitute legal advice.