What is anonymization?

Anonymization is a data processing technique that removes or modifies personally identifiable information (PII) from data sets, thereby protecting the privacy of individuals. This allows the data to be used for analysis, research, or other purposes without revealing the identities of the individuals to whom it pertains. Common anonymization methods include masking, generalization, suppression, and pseudonymization.