PII Redaction and Data Privacy in LLM Pipelines (EXPLAINED)
Hard scenario on PII in LLM systems — detection, redaction, DPA compliance, log minimization, and regional deployment.
TL;DR — Quick Answer
Treat LLM pipelines as data processors: classify PII at ingestion (NER, regex, DLP), redact or tokenize before embedding/model calls, minimize prompts/logs (no raw PII in observability), enforce retention TTLs, regional inference for residency, and BAAs/DPA with providers. Use synthetic IDs for tracing, encrypt at rest, restrict admin access, and never train on customer data without consent. For RAG, ACL-aware indexes prevent cross-tenant leakage.
The Interview Question
How do you handle PII redaction and data privacy in LLM pipelines? Cover ingestion, inference, logging, and retention.
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