If your employees use ChatGPT, Microsoft Copilot, or similar cloud AI services with customer data, contracts, or personnel files, your company might have a GDPR problem. The services themselves are not inherently bad. The risk comes from the way most employees use them, and many companies have not yet thought it through.

What Happens to Your Data in Cloud AI

When someone types a question into ChatGPT, that text is sent to servers operated by OpenAI, a US company. Even with data processing agreements in place, your data crosses organizational boundaries. The provider can see the content. The data may be used to improve models. And you can't fully verify any promises about deletion or handling. For personal data under GDPR, this creates a documentation and control problem.

Three Scenarios That Should Concern You

These happen in companies every day, often without management knowing:

•HR department pastes CVs into ChatGPT to summarize applicant profiles: personal data of job candidates lands on external servers
•Legal team uploads a contract with client names and financial terms for analysis: confidential business data leaves the company
•Finance department asks AI to check an invoice with supplier details and bank information: payment data is transmitted to a third party

What GDPR Actually Requires

GDPR doesn't ban the use of AI. But it requires you to know where personal data goes, to have legal grounds for processing it there, to inform data subjects about the processing, and to be able to demonstrate compliance. With cloud AI, each of these points becomes complicated. Where exactly is the data processed? Which sub-processors are involved? Can you really inform every person whose data an employee pastes into a chat window?

The Simple Solution: Keep Data Where It Belongs

The easiest way to avoid these problems is to process data where it already is: on your own servers. On-premise AI gives your employees similar capabilities to cloud AI without the data leaving your network. There are no cross-border transfers, no third-party access, and no data processing agreement with an external AI provider. Your data stays under your control, which makes GDPR compliance much simpler.

What You Should Do Now

Start with these three steps:

•Find out which AI tools your employees are already using. Shadow IT with cloud AI is more common than you might think
•Assess the risk: what kind of data goes into these tools? Personal data? Business secrets? Financial information?
•Evaluate alternatives: for sensitive use cases, look into on-premise AI solutions that keep data in-house

The aim is to let your team use AI safely rather than to ban it. On-premise AI avoids the biggest GDPR risks because all data stays within your organization, and your employees still get a capable tool.

Questions about on-premise AI?

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