Artificial intelligence and data protection are often seen as opposites. They don't have to be. AI can be used in a GDPR-compliant way, with the right legal basis, data minimisation, transparency, and technical measures such as EU hosting and access controls. This article shows what companies need to watch for in 2026, which data is allowed, and how to use LLMs like ChatGPT safely.
Is using AI GDPR-compliant at all?
Yes. The GDPR does not ban AI, it governs how personal data is handled. As long as your AI system follows these core principles, its use is permitted:
- Legal basis: every processing activity needs a basis (e.g. legitimate interest, contract, or consent).
- Purpose limitation & data minimisation: only process the data needed for the specific purpose.
- Transparency: data subjects must know that and how AI processes their data.
- Security: technical and organisational measures protect the data.
Many use cases don't require personal data at all, for example an assistant that searches standards and technical documents. There, the GDPR question is quickly answered.
What changes with the EU AI Act?
The EU AI Act complements the GDPR with a product-safety-like logic: it classifies AI systems by risk.
- Minimal risk: most applications (e.g. internal assistants), hardly any extra obligations.
- Limited risk: transparency obligation (users must know they are interacting with AI).
- High risk: strict requirements (e.g. AI in hiring or critical infrastructure).
- Prohibited practices: such as social scoring.
For SMEs the rule is usually: low risk class, but documentation and transparency are still mandatory. Documenting cleanly from the start saves effort later.
Which data is allowed in an AI system?
The most important question in practice. A simple rule of thumb:
Rule of thumb
The more sensitive the data, the more protection it needs, and the more it belongs in a controlled environment rather than a public tool.
- Unproblematic: publicly available or purely technical data (standards, specifications, anonymised content).
- With care: internal business data without personal references, usually via your own secured systems.
- Particularly sensitive: personal data and special categories (health, applicant data), only with a clear legal basis, minimisation, and anonymisation where possible.
EU hosting or US cloud, which is safer?
From a GDPR perspective, EU hosting is by far the simpler route. If data is transferred to third countries such as the US, additional requirements arise (transfer basis, risk assessment, extra safeguards). EU hosting avoids this because the data never leaves the European legal area.
At soneo.ai, EU hosting is therefore the standard, and for particularly sensitive cases, an on-premise solution is possible, where the data never leaves your premises in the first place.
How do we use LLMs like ChatGPT in a privacy-compliant way?
The free consumer version of ChatGPT does not belong in business processes involving personal or confidential data. LLM use becomes privacy-compliant like this:
- Data processing agreement (DPA) with the provider, via API or enterprise offerings, not the free app.
- Data minimisation: no unnecessary personal data or trade secrets in prompts.
- EU hosting for model and data where possible.
- RAG instead of training: your knowledge stays in your controlled database; the model accesses it in a controlled way and provides sources. More in our overview of RAG & LLM integration.
- Access rights: who is allowed to query which content?
Checklist: GDPR-compliant AI in 7 steps
- Define the use case and check whether personal data is needed at all.
- Establish the legal basis (consent, contract, or legitimate interest).
- Implement data minimisation: process only what is necessary.
- Vet the provider and conclude a data processing agreement.
- Choose EU hosting (or on-premise for sensitive data).
- Create transparency: inform data subjects and employees.
- For high risk: carry out and document a Data Protection Impact Assessment.
Want to adopt AI without risking data protection? We build GDPR- and AI-Act-compliant solutions from Vienna, from strategy to operation.
Book a free intro callConclusion
GDPR and AI are not a contradiction. With a clear legal basis, data minimisation, EU hosting, and clean documentation, AI can be deployed securely and effectively. The most common mistake is not excessive caution, but the careless use of public tools with sensitive data. Those who take a structured approach from the start capture the opportunities of AI, without legal risk.
FAQ
Is using AI GDPR-compliant?
Yes, AI can be used in a GDPR-compliant way. What matters is a clear legal basis, data minimisation, transparency towards data subjects, and technical measures such as EU hosting, access controls, and data processing agreements with the providers you use.
Can I enter personal data into ChatGPT?
Not into the free consumer version. For business use you need a solution with a data processing agreement (e.g. via the API or enterprise offerings), and you should minimise or anonymise personal data wherever possible.
What changes with the EU AI Act?
The AI Act classifies AI systems by risk and introduces tiered obligations, from transparency to strict requirements for high-risk systems. Most SME use cases fall into low risk classes, but documentation and transparency are still mandatory.
Is EU hosting mandatory for AI?
Not strictly, but highly recommended. EU hosting greatly simplifies GDPR compliance because it avoids data transfers to third countries and the additional requirements that come with them.
Do we need a Data Protection Impact Assessment (DPIA)?
For AI systems that process personal data at scale or with high risk, a DPIA is often required. When in doubt, carry one out, it provides clarity and documents your diligence.
