Pseudonymization
Pseudonymization is the process of replacing personally identifiable fields within a data record with one or more artificial identifiers or pseudonyms. Commonly used to protect the privacy of personal data, pseudonymization can help support privacy law compliance efforts.
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Pseudonymization is a data processing technique that preserves consumer privacy by obscuring directly identifiable personal data. Learn more here!🔗LiveRamp -
Pseudonymization is the process of replacing personally identifiable fields within a data record with one or more artificial identifiers or pseudonyms.🔗Transcend Glossary -
https://www.cloudflare.com/learning/privacy/what-is-pseudonymization🔗cloudflare.com
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Looking for a way to secure your customers’ and employees’ PII? Find out how to protect personal data with pseudonymization and anonymization.🔗Ekran System -
This article deals with pseudonymization as one method of de-identifying or anonymizing sensitive data. The unauthorized use or misuse of our personally identifiable information (or PII) — such as name, social security number, date of birth, mother’s maiden name, place of birth, etc. — can result in identify theft and other crimes related to impersonation,Read More🔗IRI -
Learn what are the most effective ways to anonymize and pseudonymize data for data privacy and security, as well as for data analysis and innovation.🔗linkedin.com
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Understand the technicalities between pseudonymization and tokenization. Learn how the two help in complying with privacy laws.🔗piiano.com -
Data pseudonymization is a set of methods that allow the processing and management of a data subject's personal data without explicitly providing their identity.Read on to understand how pseudonymization, a data management technique, can be an important factor in forming a robust data privacy strategy.🔗protecto.ai -
Get to know Pseudonymization with Protecto.🔗protecto.ai
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Pseudonymization and anonymization fall under different categories in the GDPR. See which ones in this introduction.🔗statice.ai
