Guides to using AI with sensitive data

They find names, IDs and account numbers in Arabic, English and mixed text, swap them for tokens inside the bank, and test recall on their own data before going live.

Mask PII with consistent tokens before you embed, and mask questions the same way. Vectors, chunk text and metadata then hold tokens, and real values return only to allowed readers.

Decide access outside the model. Protecto masks sensitive values before the model and reveals only what each user’s role may read.

It depends on how you mask. Blank redaction removes the clues the model reasons with. Consistent, typed tokens keep who is who, so answers stay close to the original.

Keep real values out of the model, check every tool call in both directions, and give real values only to the tools your policy names.

Yes, if PHI reaches the AI provider. You need a BAA for the exact product, and many ChatGPT plans have none.

Only if all 18 identifier types are gone, including dates, places and numbers inside sentences, and nothing left points to the patient.

Not by itself. Redacted text must pass HIPAA de-identification, or the AI provider must be allowed to receive PHI under a BAA.

Protecto swaps patient names, MRNs and member IDs for tokens before any model sees them, and shows real values only to approved staff.

Mask names and account numbers before the prompt leaves the bank, and run Protecto in your own cloud.