Versatile AI Risk Assessment

Glossary Governance and evidence

Anonymisation and pseudonymisation

Removing identifiability differs from replacing identifiers.

As of: September 2026 · Glossary with 46 terms

What is Anonymisation and pseudonymisation?

With pseudonymisation, data cannot be attributed directly to a person without separately held additional information. Anonymisation instead requires that people are no longer identifiable using means reasonably likely to be used.

Removing names alone is insufficient: combinations of text, location or events can identify people. Assess remaining identifiability in context, including embeddings and model outputs.

Sources for context: DSGVO / GDPR

Art. 4(5)Personal data

More terms from the subject area Governance and evidence.

DPIA threshold analysis Screening under Art. 35 GDPR: does the processing need a full impact assessment? EU AI Act risk classes Classification of AI systems by risk, from prohibited practices to minimal risk. TOMs: technical and organisational measures Technical and organisational safeguards under Art. 32 GDPR, appropriate to the risk.

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“Anonymisation and pseudonymisation”. Versatile AI Risk Assessment, glossary of AI risk analysis, as of September 2026.
https://www.versatile-ai-risk-assessment.com/en/wissensbasis/glossary/anonymisierung-pseudonymisierung/

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