With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, especially when it comes to data in the cloud, but to know exactly what information they hold is equally important.
Organisations have long organised data by function or 'descriptive classifier', such as whether it is an HR file or sales records. They then categorise by sensitivity, also known as a control requirement.
Manual data classification, while possible, is inefficient, unreliable and hard to scale. Although organisations can create policies that require users to classify data... this really only works for the broadest classifications.
As organisations bring in more data from external sources such as web applications, customers and the internet of things, effective data classification really needs to be automated.
Collection
[
|
...
]