Data loss prevention tools are often employed to discover and monitor personal data in the cloud, but how effective and costly are they?
Personal data laws have been a bit of a spanner in the works and made everyone have a bit of a rethink about how they store client data that could be classified as “personal”. The thing is, which data can be classed as personal can change depending on whether it is paired with other data. This means that data that has the potential to be personal could be pretty much anywhere.