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What happens to masked data in the AI's response?

It comes back. Sensitive entities leave as stable tokens, the model works with the context, and cleartext is restored on the way back.

The problem with plain blocking

If you only block sensitive content you get two outcomes: no answer, or an answer to a mutilated prompt. Neither gets the work done, and staff then move to tools nobody can see.

How the way back works

  1. Substitute. Sensitive entities are replaced by stable tokens, not deleted.
  2. Process. The cloud model works with the context. It sees typed placeholders, never the original data.
  3. Resolve. On the response path the tokens are translated back to cleartext before the user sees the answer.

The key word is stable: within a conversation the same person stays the same token. Person, address and account are masked but coherent — the model still recognises that three mentions refer to the same person. It just does not know the name.

Where the mapping lives

The token-to-cleartext mapping stays inside your BRANE instance and never in the cloud. The vault is encrypted and EU-sovereign. This is the point where the whole construction holds or does not: if the mapping travels out, the masking is cosmetic.

And when a conversation turns sensitive

As soon as a chat contains PII, the entire conversation stays on local infrastructure. That is not a setting but an assurance that cannot be disabled: once sensitive means always local.

The limit. What is inspected and masked is what goes into the AI. What a human does with the resolved answer afterwards — copy, forward, print — is outside this layer.

Last reviewed: 2026-09-09

In brief

Does the model see the real values?
No. It sees typed tokens. The token-to-cleartext mapping stays inside your instance and does not travel with the request.
Is the answer still useful?
Yes, because the masking is coherent: the same person stays the same token. The model still sees relationships, it just does not know the names.