A modern enterprise’s most valuable asset is its data. Be it intellectual property such as source code or blueprints, sensitive business information such as financial metrics or customer data, or sensitive personal information such as Personally Identifiable Information (PII) or Personal Health Information (PHI) of employees or customers.
Protecting this data is of critical importance to enterprises and finding the right tools to achieve this is thus imperative.
One of the most effective tools to control the extraction of data from an organization’s assets is Data Loss Prevention (DLP).
DLP enables organizations to define a set of rules which govern the movement of data to and from their applications. This is achieved by identifying sensitive information which matches defined data types and taking the appropriate action. DLP also identifies the file type of an asset being requested and can prevent its download of so defined.