An organisation wants to move a dataset outside the scope of data protection law by processing it so that no individual can be re-identified, even by combining it with other data the organisation holds. Which outcome distinguishes this approach from pseudonymisation?
- AAnonymisation encrypts the identifying fields with a customer-managed key, so the data can be restored by anyone holding that key
- BAnonymisation irreversibly removes the link to any individual, so the data is no longer personal data; pseudonymisation only replaces identifiers while a re-identification key still exists Correct
- CAnonymisation replaces direct identifiers with consistent tokens so records can still be joined across datasets on the token
- DAnonymisation masks the data only in non-production copies while production retains the original values
Why A is wrong: This describes a reversible, key-based transformation, which is closer to encryption or pseudonymisation; genuine anonymisation leaves no key that can restore identity.
Why B is correct: True anonymisation destroys the ability to re-identify, taking the data out of scope, whereas pseudonymised data remains personal data because a separately held key can restore the link, which is the defining difference.
Why C is wrong: Consistent tokens that allow joining preserve a re-identification path through linkage, which is pseudonymisation, not anonymisation, so this fails the no-re-identification test.
Why D is wrong: Environment-specific masking of copies is a de-identification control for test data, not a property of anonymisation, and it leaves fully identifiable production data in scope.