Can customer data go into large language models?

Whether data can enter a model depends on classification and red-line policy: public or internal de-identified data often fits private RAG; customer PII, contract text, and financial detail must be isolated or blocked. Build an access matrix and a 'what can enter the model' list before deploying use cases.

Key points

  • Classify data: public, internal, sensitive, prohibited
  • Define prohibited items: unde-identified customer info, unauthorized contracts, credentials
  • Private deployment or enterprise API with data-residency policy
  • Audit logs: who asked what, which documents were used
  • Human review nodes: high-risk outputs reviewed before execution

How to do it

  1. Complete security and compliance screening in the workshop phase
  2. Produce access matrix and data red-line documentation
  3. Segment RAG knowledge bases by classification or permission
  4. Security review and sample audit before launch

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