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 ...

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 ...

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 ...

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, ...