If your organization uses AI APIs like ChatGPT, Claude, or DeepSeek, you are likely sending personal data to third-party servers. Under GDPR, this requires a legal basis, data processing agreements, and appropriate safeguards. Here is how AI Privacy Gateway helps you achieve compliance.
Using AI APIs creates several GDPR compliance challenges that organizations must address:
When you send a prompt containing customer data to OpenAI or Anthropic, you are transferring personal data to a data processor. Under GDPR Article 28, you need a Data Processing Agreement (DPA) with each provider.
GDPR requires that only necessary personal data be processed. Sending full customer profiles or documents with embedded PII violates the data minimization principle.
If you are in the EU and the AI API provider is in the US, you need an adequate transfer mechanism (SCCs, DPF, BCRs). Many organizations lack these for AI API providers.
If personal data is used for model training, it becomes difficult to delete — violating the right to erasure. Your data could persist in training data indefinitely.
The gateway automatically detects and masks PII before it reaches the AI API. This means:
The masking engine runs locally on your infrastructure. PII is detected and replaced before any data leaves your network. The mapping between original values and placeholders is stored in an encrypted local SQLite vault that never leaves your machine.
Have you assessed the risks of using AI APIs with personal data? The gateway reduces risk by ensuring no PII reaches the AI provider.
Do you have a signed DPA with your AI API provider? With the gateway masking PII, a DPA may not be required for the processed data.
Are you sending only necessary data to AI APIs? The gateway enforces data minimization by stripping PII automatically.
Can you erase user data from AI providers? The gateway ensures no personal data reaches AI providers, making erasure requests straightforward.
Have you assessed cross-border data transfer risks? The gateway minimizes the personal data transferred, reducing the scope of your TIA.
docker run -d \
--name ai-privacy-gw \
-p 9999:9999 \
-v ./vault_data:/app/vault_data \
ghcr.io/gunxueqiu6/ai-privacy-gateway:lite
Once deployed, configure your AI API clients to use http://localhost:9999/v1
as the base URL. The gateway will automatically mask all PII patterns before forwarding
requests to the AI provider.
The gateway detects and masks 14+ entity types relevant to GDPR compliance:
Masking PII significantly reduces your GDPR compliance burden, but it does not eliminate all obligations. You should still maintain records of processing, conduct a DPIA for AI API usage, and ensure appropriate technical and organizational measures are in place.
If the masking is irreversible and the mapping keys are securely stored separately, the masked data may no longer be considered personal data (depending on the re-identification risk). The gateway stores mappings in an encrypted local vault, making re-identification practically impossible without access to your infrastructure.
Yes. AI Privacy Gateway works with any OpenAI-compatible API, including ChatGPT (OpenAI), Claude (Anthropic), DeepSeek, Azure OpenAI, and Google Vertex AI.
Yes. The gateway is designed for local deployment. Run it on your own infrastructure — bare metal, VM, Kubernetes, or Docker. No external dependencies.
Yes. The admin dashboard shows real-time masking statistics, and all masking events are logged locally. You can use these logs as evidence of data minimization for GDPR compliance audits.
Deploy AI Privacy Gateway in 30 seconds. No code changes needed.