Pseudonymization
Quick Definition
A data protection technique that replaces identifying information with artificial identifiers (pseudonyms), allowing data subjects to be indirectly identified only with additional information kept separately.
What is Pseudonymization?
Pseudonymization is a data management and de-identification procedure where personally identifiable information fields are replaced by artificial identifiers or pseudonyms. Unlike anonymization, pseudonymization allows for re-identification if the mapping between pseudonyms and original identifiers is available. This makes it suitable for scenarios where you may need to trace data back to individuals under specific circumstances.
The key difference from other masking techniques is reversibility: pseudonymized data can be linked back to the original subject using a separate key or mapping table. This makes it valuable for scenarios like longitudinal studies, where researchers need to track the same individuals over time without knowing their actual identities.
Under GDPR, pseudonymization is explicitly recognized as a security measure that reduces privacy risks. While pseudonymized data still qualifies as personal data under GDPR (because re-identification is possible), it receives more favorable treatment. Organizations using pseudonymization can process data more flexibly and face reduced obligations compared to processing directly identifiable data.
Common Use Cases
- Clinical research and medical studies
- Analytics that may require re-identification
- Cross-organization data sharing with privacy
- Long-term data retention with privacy protection
🎯How GoMask Helps
GoMask supports pseudonymization with secure key management. Our platform can generate consistent pseudonyms across your database while maintaining the mapping table separately, enabling reversible de-identification when needed for authorized purposes.
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