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 ...

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 ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Today Seclore, the leading provider of data-centric security solutions, announced the release of new Digital Asset Classification and Risk Insights capabilities ...

CJIS 6.0 introduces data loss prevention requirements that are pushing agencies to rethink how they classify, secure and ...

All students, employees, volunteers and contractors/agents at Hope College possess and/or access information that should be protected, and each individual plays a crucial role safeguarding that ...

Sentra, the cloud data security leader, is announcing the integration of large language models (LLMs) into its data classification engine, re-envisioning data security as even more proactive, ...

Varonis Systems, Inc., a leader in data security, is debuting new AI capabilities designed to automatically discover, understand, and classify customer data. By enhancing its data classification ...

This document defines the Cal Lutheran data classification scheme and establishes rules and procedures for protecting sensitive and protected university data processed, received, sent or maintained by ...

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 ...