DeepSeek Data Protection: GDPR Risks and Compliance Requirements for Businesses

DeepSeek is a so-called Large Language Model (LLM) developed by a technology company based in China. Technically speaking, it is based on a highly efficient Mixture-of-Experts (MoE) architecture. This design allows the system to activate only specific parts of the model per query, which drastically reduces computational costs and increases speed.

For the data protection assessment, however, it is not so much the internal mathematics as the technical infrastructure that is decisive. We must distinguish between three access methods here:

• Public web interface: Users access data centers in China directly via their browser.
• API interface: Developers integrate the model into their own closed corporate applications.
• Open-weights variant: Since the model weights are openly accessible, local hosting on one’s own servers is theoretically possible.

The central question for every data protection officer is: Where do the bits and bytes go when an employee submits a prompt? Since DeepSeek’s standard servers are physically located in China, the data leaves the European legal jurisdiction with every request and is thus subject to the access rights applicable there.

As soon as an employee uses a tool to draft an internal company email, uploads customer data for analysis, or has an error in the source code fixed, various categories of sensitive data are processed. Content data (prompts) is particularly critical in this context. Everything typed into the text field is processed by the provider and is often stored permanently.

Additionally, metadata such as IP addresses, device information, and timestamps are generated, which are also considered personal data. AI training is an often underestimated risk: Many providers use user inputs by default to iteratively improve their models. Information that has been “trained” into the model cannot be removed with a simple delete command. It becomes part of the statistical weights of the neural network and could theoretically reappear in a similar form in responses to other users’ queries.

The use of DeepSeek entails several data protection risks that go beyond the standard risks associated with U.S. AI systems.

Lack of Transparency

For many Chinese AI providers, data protection documentation is less detailed than that of European services. Clear information is often lacking regarding exactly where data is stored, how long it is retained, and what technical and organizational measures (TOMs) are in place.

Loss of control

Once data is transmitted to DeepSeek, the company largely loses control over it. It is difficult for European companies to verify whether data is actually deleted when requested or whether it is used for purposes not covered by the original consent.

At the heart of the legal concerns lies Chapter V of the GDPR (Articles 44–50). Personal data may only be transferred to countries outside the EU if those countries provide a level of protection equivalent to the European standard.

• No adequacy decision: There is no adequacy decision from the European Commission for China. The country is legally considered an unsafe third country.
• Government access powers: Chinese security laws can compel companies to cooperate with intelligence agencies. This directly contradicts the level of protection provided by the GDPR.
• Necessary safeguards: Companies must use Standard Contractual Clauses (SCCs) and conduct a Transfer Impact Assessment (TIA). In practice, it is nearly impossible to provide legally sound proof that data in China is safe from government access.

European data protection authorities view Chinese AI tools with great skepticism. Their core message is typically: Exercise the utmost caution when entering sensitive data. The Italian authority (Garante) has previously imposed temporary bans on similar services. German state data protection authorities also regularly warn against the careless use of cloud services from third countries without sufficient legal safeguards. Companies that use DeepSeek must be able to fully document their compliance measures in the event of an audit.

In addition to data protection, the protection of trade secrets plays a crucial role. The German Trade Secrets Act (GeschGehG) requires companies to take “appropriate confidentiality measures.”

If confidential algorithms or strategy documents are uploaded to a cloud-based AI system in a third country, a court could argue in the event of a subsequent leak that the company has breached its duty of care. The trade secret would thus lose its legal protection status. Companies therefore risk not only fines but also the permanent loss of their intellectual property.

If you want to take advantage of DeepSeek’s efficiency benefits, you should follow a structured process:

Scenario Selection: API Over Web

Do not use DeepSeek via the public website. Instead, rely on European cloud providers (e.g., specialized EU hosting providers) that mirror the DeepSeek model on servers located within the EU. European law applies here, and a data processing agreement can be concluded in a legally compliant manner.

Internal AI Guidelines

Establish clear guidelines for employees:

• Prohibition of real names: Do not enter any customer data or employee details.
• Anonymization: Use placeholders or fictional examples.
• No source code: Internal software architectures must not be uploaded.

Technical Filters (AI Proxy)

Implement technical solutions that filter prompts before they are sent to the AI. Data Loss Prevention (DLP) tools can automatically redact sensitive information.

For maximum security, companies can run DeepSeek on-premises. Since the model weights are available, companies can host their own instances on high-performance servers in their own data center.

Advantages of on-premises hosting:

• Full data sovereignty: No data leaves the company network.
• Compliance: The GDPR issue of data transfers to third countries is completely eliminated.
• Customizability: The model can be fine-tuned using the company’s own data without any external risk.

DeepSeek offers impressive AI capabilities but also entails significant risks. For companies in Europe, data transfers to China - a third country - pose the central challenge. The safest approach is to use European cloud partners or local hosting. Anyone using the public web interface does so at their own risk - legally, financially, and strategically.

Can I use DeepSeek for personal purposes without any concerns?

Private individuals are not subject to GDPR accountability requirements. However, your data is transferred to servers outside the EU. When it comes to personal privacy, you must weigh the risks for yourself.

Is employee consent sufficient?

In an employment relationship, the voluntary nature of consent is often legally contestable. A thorough balancing of interests or the use of anonymized data is the safer approach.

What happens in the event of a violation?

In addition to hefty fines, you risk warnings from competitors and a massive loss of customer trust if it becomes known that their data was processed insecurely.