An organization has completed the acquisition of a smaller rival in a different but related industry. The acquisition was approved by the regulator on the condition that the personal data sets may not be combined. A way of achieving this objective is through?
Disassociability is the process of minimizing connections between personal data and individuals to the extent compatible with system operational requirements. This approach ensures that data sets remain segregated, preventing the combination of personal data from different sources. Unlike de-identification techniques such as k-anonymity and pseudonymization, which focus on anonymizing data, disassociability specifically targets the maintenance of separate data sets even after an acquisition, thereby complying with the regulator's condition.
B Disassociability is the minimization of connections between data and individuals to the extent compatible with system operational requirements. This minimization can take many forms, from maximally disassociated data in the form of high-level aggregated data, to deidentified records pertaining to distinct individuals. Disassociability can also take the form of architectural data separation, in which identifiable personal information is kept segregated from, but still linkable to, transactional data.
A way of achieving the objective of not combining personal data sets after an acquisition is through: B. Disassociability Here’s why: Disassociability allows data to be used without creating a link back to the individuals the data is derived from. This can be achieved by ensuring that the processing of data does not lead to the identification of individuals. Ciphertext (Option A) is the result of encryption applied to plaintext and doesn’t inherently prevent data sets from being combined. k-anonymity (Option C) and Pseudonymization (Option D) are techniques used to de-identify data, but they don’t necessarily prevent the combination of data sets.
why is not B - dissociability?