AI Glossary

AI Termcirca 2005· Added Aug 18, 2026

Data Anonymization

The process of modifying personal data to prevent identification of individual data subjects.

Data anonymization is a critical step in protecting sensitive information. It involves modifying or transforming personal data to prevent identification of individual data subjects. This can be achieved through various techniques, such as data masking, data pseudonymization, and data anonymization algorithms. The goal of data anonymization is to make it impossible to link the data to an individual, thereby ensuring the privacy and security of the data subjects. Effective data anonymization requires a thorough understanding of the data and the potential risks associated with it.

Examples

  • Using data masking to replace sensitive information with fictional data
  • Applying data pseudonymization to replace identifiers with pseudonyms

Common misconceptions

  • Assuming that data anonymization is a one-time process
  • Believing that data anonymization is only necessary for sensitive data

Also known as: data-deidentification, data-pseudonymization

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