How would you minimize sensitive data sent through an AI feature?

Applies purpose limitation, selective retrieval, redaction, pseudonymization, and field-level policy before model calls.

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TL;DR

I define the task and send only the fields needed to perform it. Context is built from allowlisted sources and fields rather than copying an entire record, conversation, or document store. Where the task permits it, I redact, tokenize, aggregate, or pseudonymize identifiers before the model call and restore references only inside the trusted application boundary.

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Practice focus

Privacy engineering, data minimization, sensitive-data discovery, and task-specific context construction.

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Answer path

Core answer first, then checkpoints toward a stronger answer.

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Core answer
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Overview
The safest sensitive token is the one the feature never sends, stores, embeds, or logs.
I define the task and send only the fields needed to perform it. Context is built from allowlisted sources and fields rather than copying an entire record, conversation, or document store. Where the task permits it, I redact, tokenize, aggregate, or pseudonymize identifiers before the model call and restore references only inside the trusted application boundary.
Checkpoint
Stronger answer
Optional upgrade with examples, trade-offs, and sharper phrasing.
Classification happens before retrieval and again before transmission because derived text can reveal sensitive information even when obvious fields are removed. I distinguish secrets, credentials, regulated personal data, confidential business data, and ordinary identifiers because they need different handling. Product UX also warns users about inappropriate input and offers a non-AI path when the required data cannot be processed under the approved policy.

Review signals

Use these to catch weak phrasing, shallow reasoning, and risky claims.

Common mistakesCandidateCommon mistakesMistakes that weaken the answer or signal shallow understanding.Open details

Details

Sending a full object because context is available.
Redacting only obvious names and email addresses.
Ignoring sensitive data copied into traces and evaluations.

How would you minimize sensitive data sent through an AI feature?

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Overview

Review signals

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