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Offline pseudonymization for safer AI use

Principles for reducing sensitive data exposure before using artificial intelligence systems.

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Sending documents directly to an artificial intelligence service may expose names, contacts, identifiers, trade secrets, and other data that is unnecessary for the task.

Pseudonymization is not anonymization

In pseudonymization, identifiers are replaced with controlled values, but additional information can restore the association. That information must remain separate, protected, and subject to strict controls.

Minimum workflow

  1. inventory the types of data present;
  2. define which fields are actually necessary;
  3. detect direct and indirect identifiers;
  4. replace identifiers locally;
  5. store the re-identification map separately and encrypted;
  6. send only the reduced content;
  7. review the output before re-identification;
  8. record purpose, operator, and retention.

Conclusion

An offline tool can reduce exposure, but it does not remove the need for data minimization, provider assessment, access control, and governance. The purpose is layered protection, not an absolute promise of anonymity.

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