What is the difference between data anonymization and pseudonymization?

What is the difference between data anonymization and pseudonymization?

Data anonymization removes all personally identifiable information, making it impossible to identify individuals. Pseudonymization replaces identifiable data with pseudonyms, allowing for re-identification under certain conditions.

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

Sure! Use 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! Regulations like GDPR have specific guidelines on data anonymization and pseudonymization, impacting how organizations handle personal data.

Which method is considered safer?

Anonymization is generally considered safer since it irreversibly removes personal identifiers. However, pseudonymization can be safer in contexts where re-identification is controlled and necessary.