PII Redaction in LLM Pipelines: Strip the Names, Keep the Meaning
Every prompt containing personal data becomes 5 copies of that data: provider logs, your traces, caches, eval exports, bug reports. This is the redaction architecture that actually holds: a single boundary function, layered detectors, consistent pseudonyms like [PERSON_1] that
