Sensitive Data Protection on Prompts & Responses
A policy engine applies redact, mask, warn and pass-through actions on PII, PHI, financial identifiers and internal terminology before prompts reach a model — with rehydration of masked terms in the response — fitting operating models whose regulated data cannot be sent verbatim into third-party LLM endpoints, and whose privacy posture demands a deterministic control plane rather than user-side discipline.
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