Private LLM, GDPR and the EU AI Act
A private LLM is the most direct route to compliance. Because your data never leaves your own environment and is hosted within the EU, meeting GDPR and the new EU AI Act becomes considerably easier. You stay in control of where your data lives and who can access it.
This page explains how that works. It is an explainer, not legal advice — always involve your own privacy or compliance officer for a definitive assessment.
What does GDPR mean for AI use?
GDPR sets requirements for how you process personal data: a lawful basis, data minimisation and control over where data flows. Public AI tools process your input outside your organisation, often outside the EU, which means you lose part of that control.
With a private LLM, all data stays inside your own isolated environment. There is no transfer to third parties or outside the EU, which makes GDPR compliance considerably easier to demonstrate.
What changes with the EU AI Act?
The EU AI Act is the European regulation governing AI, with a risk-based approach: the higher the risk of an application, the stricter the requirements on transparency, oversight and documentation. The obligations are being phased in.
For organisations this means: knowing which AI you use, where it runs and how your data is processed. With a private LLM under your own control, you maintain that overview because you decide which data the model uses and how it is configured.
How a private LLM simplifies compliance
Data stays inside the EU. Amaii hosts everything within the European Union, or on-premise on your own servers. No transfer outside the EU.
No data sharing. Your input never trains external models and is not shared with third parties.
Control and transparency. You decide which information the model can use and who has access. Audit logging gives you full visibility into usage.
Compliant by design. Amaii configures the environment with privacy and compliance as the starting point, tailored to your sector's requirements.
