Now let’s consider how a data-centric approach helps to implement Zero Trust Data Security. Zero Trust is a security model that assumes that all network traffic, whether inside or outside the network perimeter, is untrusted. This means that access to data is not granted based on the location of the user or the device they are using, but rather on the user’s identity, the sensitivity of the data, and the context in which the data is being accessed. Zero Trust Data Security takes this concept a step further by applying the Zero Trust model to the protection of sensitive data. This means that access to sensitive data is only granted to users who are authorized to access it, based on the user’s identity, role, and level of clearance.
A data-centric approach is essential to implementing Zero Trust Data Security because it enables organizations to identify and classify their sensitive data, and to control access to that data based on its sensitivity. This involves using tools such as data classification, data loss prevention, and data rights management to ensure that sensitive data is only accessed by authorized users, and to prevent unauthorized access or exfiltration of that data. By applying the Zero Trust model to data protection, organizations can significantly reduce the risk of data breaches and other security incidents.