Consistent pseudonymization proxy to keep RAG useful while hiding PII

Consistent pseudonymization proxy to keep RAG useful while hiding PII targets a $6.0B = 200,000 mid-market & enterprise firms × $30,000 ACV for organization-wide privacy+RAG tooling total addressable market with medium saturation and a year-over-year growth rate of 25% YoY (estimated growth for AI privacy, MLOps security and data-protection tooling as reported in analyst notes from Gartner and Forrester).

Key trends driving demand: Enterprise LLM adoption — more teams are deploying RAG for knowledge, support, and sales, creating demand for privacy controls that don't break retrieval.; Regulatory pressure and vendor data policies — GDPR/CCPA and cloud vendor policies increasingly restrict sending raw PII to third-party models, creating urgency for masking/proxy solutions.; Vector DB and RAG platform standardization — standardized vector stores and embedding APIs reduce integration friction and make a proxy integration pattern feasible.; Developer-first security tooling — companies prefer light, API-first security primitives that integrate into CI/CD and runtime pipelines rather than heavy governance projects.; Shift from redaction to pseudonymization — customers realize redaction damages model performance, aligning buyers to solutions that preserve semantics..