Keep RAG working while hiding PII using consistent pseudonymization proxy

Keep RAG working while hiding PII using consistent pseudonymization proxy targets a $6.0B = 200000 relevant mid-market & enterprise buyers × $30K ACV total addressable market with medium saturation and a year-over-year growth rate of 25% YoY — industry estimates for AI data security and model governance adoption (Gartner, 2024 and McKinsey AI adoption reports).

Key trends driving demand: Widespread adoption of RAG and embedding-based search — this creates immediate demand for methods that preserve embedding quality while protecting PII.; Rising regulatory scrutiny around data used with AI systems — compliance requirements push companies toward solutions that do not transmit raw PII to third-party models.; Shift to developer-first security tooling — teams prefer lightweight, API-driven integrations that can be inserted into existing pipelines with minimal overhead.; Managed secrets and KMS services are mature and cheap — enabling secure reversible pseudonymization without large infrastructure investments..