Data Anonymization
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Explore more → What is Data Anonymization?
Data anonymization is the process of protecting private or sensitive information by removing or altering personally identifiable information (PII) from data sets. This allows the data to be used for analysis, testing, or research without revealing the identity of individuals. Common techniques include masking, generalization, pseudonymization, and suppression.
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