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 ...

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 ...

In today's data-driven age, enterprise success isn't merely contingent on possessing vast amounts of data but on comprehending its nature and value. Amid the sea of information enterprises deal with ...

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, ...

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 ...

A data storage strategy that addresses data sovereignty builds on the classification of data in the data audit to limit what data can go where. As part of the classification process, data will be ...

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...

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 ...