The rapid advancement and widespread adoption of new technologies present a dual challenge: steering their evolution while simultaneously safeguarding the privacy of the individuals who use them. It is in this latter aspect that data protection becomes critically important.
This protection pertains to the careful handling and restriction of any information that can serve as an identifier of a natural person, achieved through a range of technical measures—pseudonymization being one of those specified by the General Data Protection Regulation (GDPR).
Pseudonymization may be defined as the process applied to data records whereby various identifiers (identifying fields) are replaced with pseudonyms (fictitious identifiers), while maintaining the link between the data and the individual in a separate, secure location. Thus, pseudonymized data should not be mistaken for anonymous data.
In practice, this method involves extracting, encrypting, or obscuring a critical “link” in the data chain so that the information can no longer be attributed to a specific individual without additional information. However, this link—an identifier—is preserved separately to allow for potential re-identification if necessary.
According to the GDPR, the outcome of this process results in two distinct data sets:
In this context, the GDPR defines pseudonymization as the processing of personal data in such a manner that the data can no longer be attributed to a specific data subject without the use of additional information.
This means that, if necessary, pseudonymized data can be re-identified—provided that the supplementary information enabling this process remains entirely inaccessible to unauthorized individuals.
Therefore, with the appropriate key, re-identification is technically possible. For this reason, under the GDPR, pseudonymized data still qualifies as personal data.
While the GDPR cites pseudonymization as a valid data protection measure, its implementation must be tailored to the specific circumstances, the technologies used, and the assessed level of risk.
Pseudonymization may involve techniques such as encryption using a secret key, whereby identifying fields are converted into codes, rendering the data unintelligible. Only those with access to the decryption key can retrieve the original private data.
The GDPR pseudonymization method can be effectively employed in various fields, such as:
It is crucial that pseudonymization practices be automated. Due to the inherent complexity of data management, standardizing such procedures is essential to ensure both GDPR compliance and the long-term viability of the organization.
As stated in the GDPR, both anonymization and pseudonymization offer privacy safeguards through data processing. However, they differ significantly in terms of reversibility, data linkage, the nature of the resulting data, and how each is governed by the GDPR.
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mplementing effective pseudonymization technology when processing data allows organizations to preserve the intrinsic value of such information while simultaneously facilitating compliance with the GDPR.
Given the vast volumes of data flowing through various departments of an organization today, it is imperative to partner with a provider that offers customized and automated data protection solutions through pseudonymization.
Collaborating with a trusted company experienced in GDPR-compliant pseudonymization and anonymization is the most reliable way to mitigate the risk of data breaches and ensure the confidentiality of sensitive information.
At Pangeanic, we offer robust solutions based on the GDPR pseudonymization framework, ensuring data reliability, integrity, and confidentiality through advanced technologies that secure the entire data processing cycle.