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 ...

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 ...

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 ...

The study of clustering and classification of uncertain data addresses the challenges posed by imprecise, noisy, or inherently probabilistic measurements common in many modern data acquisition systems ...

Data security solution startup Metomic Ltd. today announced a new solution that makes it possible to discover, classify and secure sensitive data at large scale across Google Workspaces. The new Data ...

The addition of LLM to Sentra’s classification engine allows scanning and classifying sensitive enterprise data like source codes, and employee details. Classifying sensitive unstructured data like ...

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 ...

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 ...

AUSTIN, Texas--(BUSINESS WIRE)--Global security leader Forcepoint today announced the launch of its next-generation Data Detection and Response (DDR), bringing AI-powered speed and precision to data ...

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, ...

The cybersecurity landscape is undergoing a significant transformation, marked by new entrants and a surge in acquisitions of Data Security Posture Management (DSPM) startups by major tech vendors—six ...