Nevada’s IT agency has rolled out a new policy aimed at standardizing the privacy of state data, months after a massive ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

An effective data loss prevention (DLP) strategy is essential for protecting your organization's data, but without proper data classification, even the best DLP tools can fall short. Data ...

TEL AVIV, Israel--(BUSINESS WIRE)--In a revolutionary move, Flow has designed data classification powered by Large Language Models (LLMs). With a focus on unstructured data, this technology can ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

All college data are classified into levels of sensitivity to provide a basis for understanding and managing college data. Accurate classification provides the basis to apply an appropriate level of ...

Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...

Information technology and data constitute valuable Connecticut College assets. The purpose of data classification is to identify college data and it’s sensitivity. In order to protect the security, ...

To ensure a common understanding, Harvard uses a 5-step scale for data sensitivity. The higher the number, the more sensitive the data is, and the stronger protections you need to take when accessing ...