What is data sovereignty in AI?

The problem with cloud-based AI

Most AI tools used today — ChatGPT, Copilot, Claude, Gemini — are cloud-based services. When an employee types "Analyse this customer email and suggest a reply" in ChatGPT, the following happens:

1. Data leaves the company — The email is sent to OpenAI's servers (usually in the USA)
2. Processing happens outside your control — You do not know who has access, how long it is stored, or what backups exist
3. The answer comes back — But the data remains with a third party

For consumer use this is acceptable. But for companies handling customer data, trade secrets or personal data, legal, security and strategic problems arise.

What is data sovereignty?

Data sovereignty means that you have full control over where your data is stored, who has access to it, and which laws it is subject to.

For European companies this concretely means:

• Data is stored within the EU (or in your own infrastructure)
• Data is subject to GDPR, not US laws such as the Cloud Act
• You can delete, export and control the data at any time
• Third parties have no automatic access to your data

Why does it matter?

1. Legal requirements (GDPR)

GDPR requires companies to be able to account for where personal data is stored, how it is used and who has access. If an employee pastes customer data into ChatGPT you can no longer answer these questions.

Example: A customer requests a subject access report under GDPR Art. 15. You must then be able to list every location where their data exists — including AI tools that employees have used. Can you do that today?

2. Regulatory trends (EU AI Act)

The EU AI Act is being phased in from 2026–2027 and places requirements on how companies use high-risk systems. Even if many AI tools are not yet classified as high-risk, requirements for transparency, documentation and control are increasing.

Building data sovereignty into your AI strategy now makes you ready for future regulations without having to redo everything.

3. Trade secrets and competitiveness

When you train an AI model on your product catalogue, your sales tactics or technical specifications — where does that knowledge go? Many vendors reserve the right to use input data to "improve the service", which in practice may mean that your competitive knowledge is used to train models that your competitors also use.

How do you achieve data sovereignty?

There are two main approaches:

1. Local (on-premise) AI models

You run AI models directly in your own infrastructure. Data never leaves the company. However, this requires:

• GPU capacity (expensive)
• Technical expertise to maintain models
• Continuous updates and security patches

Suitable for: Large companies with dedicated IT departments and high security requirements (defence, finance, pharmaceuticals).

2. European AI platforms with data sovereignty

You use AI services that guarantee data stays within the EU and follows European legislation. This can be:

• European cloud services (with GDPR certification)
• Hybrid solutions where sensitive data is handled locally, rest in the cloud
• Platforms like VAKTA — where orchestration and PII protection happen in your infrastructure, and only anonymised requests are sent to LLM providers (which you choose yourself)

Suitable for: SMEs that want AI access without building their own infrastructure, but still want to retain control and compliance.

Summary

Data sovereignty in AI is about control. For European companies this means:

• ✓ You know exactly where your data is
• ✓ You comply with GDPR and future EU regulations
• ✓ Trade secrets do not leak to competitors
• ✓ You can give employees AI access without risking compliance

Cloud-based AI tools like ChatGPT are powerful and have enterprise versions, but they are built on a shared infrastructure where your data is stored on the vendor's servers. For European companies with regulatory requirements, the vendor's policy is not enough — you need architectural control. Data sovereignty is not a luxury, it is a basic prerequisite for responsible AI use.