Operationalize AI data protection across the entire organization
Data Protection Impact Assessments are mandatory for AI processing under GDPR Article 35. You need technical measures documented before signing off.
If a customer submits a Data Subject Access Request, can you identify and retrieve their data from your AI API interactions?
Every AI API provider is a data processor. You need to manage processor relationships, DPA agreements, and data flow documentation.
Single Docker container. No code changes. No architecture overhaul. Just change the API base URL and your data is protected.
All PII masking happens on your infrastructure. No data ever leaves your network for processing. This is the foundation of GDPR, HIPAA, and PIPL compliance.
Full source code available. No vendor lock-in. No per-seat pricing. No usage limits. Deploy in any environment, audit every line of code.
Works with every AI provider through a single proxy — OpenAI, Anthropic, DeepSeek, Cursor, Claude Code, LangChain, and any OpenAI-compatible API.
Deploy in 30 seconds. Open source. Zero trust.
AI Privacy Gateway provides detailed audit logs of every masking event, showing what data was detected and masked before reaching AI providers. This serves as technical evidence for SOC 2, ISO 27001, GDPR, and HIPAA audits.
Yes. The gateway is a lightweight Docker container that fits into any infrastructure. It exposes health check endpoints, structured logging, and can be monitored alongside your existing services.
Less than 1ms per request. The detection engine is written in Rust for maximum performance, and all processing happens locally with no external API calls.