Anonymization techniques can vary, but they generally include methods such as data masking, pseudonymization, and generalization. Data masking involves replacing sensitive information with random characters, while pseudonymization replaces identifiable information with fictitious identifiers. Generalization, on the other hand, involves aggregating data into broader categories to obscure individual details.