What is the difference between data anonymization and data pseudonymization?

What is the difference between data anonymization and data pseudonymization?

Data anonymization removes personally identifiable information, making it impossible to identify individuals. Data pseudonymization replaces identifiable information with pseudonyms, allowing for some level of identification under certain conditions.

Can you give me examples of when to use each method?

Sure! Use data anonymization when you want to completely protect user identities, like in research. Use pseudonymization when you need to analyze data while still being able to link it back to individuals if necessary, like in healthcare.

Are there any legal implications for using these methods?

Yes, there are! Anonymized data is generally not subject to data protection laws, while pseudonymized data may still be considered personal data and thus subject to regulations like GDPR.

Which method is more secure?

Anonymization is generally considered more secure since it irreversibly removes identifiers. However, pseudonymization can be secure if proper safeguards are in place.