GRCLibrary.ai

Standard

Pseudonymization and Anonymization Standard

This standard defines pseudonymization and anonymization techniques permitted in the organization, the requirements for each technique, and the re-identification risk assessment that determines whether a data set has crossed from pseudonymous (still personal data) to anonymous (no longer personal data). It supports lawful data minimization, secure analytics, AI training data preparation, research, and cross-border transfer scenarios.

Type
Standard
Version
1.0.7
Date
2026-07-10
Owner
Data Protection Officer
Approving authority
Governance Library Maintainer
Classification
Public
Confidentiality
Public
Category
Privacy
Review frequency
Annual and upon material cryptographic, statistical, or regulatory change
Licence
CC BY-SA 4.0

Read the full text on GitHub (opens in a new tab)

Outline

  • 1. Purpose
  • 2. Scope
  • 3. Definitions
  • 4. Permitted techniques
  • 5. Requirements
  • 6. Risk classification thresholds (default)
  • 7. Operating expectations
  • 8. Framework alignment
  • 9. Limitations

Frameworks it maps to

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