Resources

Evaluate the problem before the product.

Practical material for security, privacy, engineering, and procurement teams evaluating how sensitive data should be controlled in AI traffic.

Evaluation material

Developer guides

Code-first guides for keeping personal data out of OpenAI, Anthropic, Gemini and LiteLLM requests, and restoring it in responses.

Honest comparisons with Microsoft Presidio, Private AI (Limina), Nightfall, Skyflow, Lakera and others, including where they fit better.

What GDPR, UK GDPR, the EU AI Act, Swiss nFADP, HIPAA, PCI DSS, DORA and FINMA ask of companies that send data to AI models.

Technical guidance, evaluation criteria, comparisons, and implementation questions for enterprise PII redaction.

Answer-first explanations of PII redaction, data loss prevention, GenAI data security, and related concepts.

Detection coverage, policy actions, the masking pipeline, deployment modes, and known limits.

Connect apps through the gateway, protect employee devices with the desktop agent, mask MCP tool calls, or mask and unmask with the SDKs.

Product updates and GDPR explainers: is ChatGPT, Claude, Gemini, Copilot or DeepSeek GDPR compliant?