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Glossary · Evaluation & safety

Anonymization

Anonymization is the irreversible removal or transformation of identifying details in data so individuals can no longer be identified, unlike pseudonymization, which replaces identifiers with codes that can be reversed using separately stored information.

Anonymization sits in the Evaluation & safety part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called Data anonymization.