If your company is manually classifying any data, you've already lost the data security battle. Data security is reliant on classification, but data classification is unreliable today because it ...

HR departments handle sensitive, context-based people data, so they need a more nuanced classification approach than traditional models.

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 ...

Data Classification Standards The goal of information security, as stated in the University’s Information Security Plan, is to protect the confidentiality, integrity and availability of information ...

Purpose This document defines the William & Mary system and data classification scheme and establishes procedures for protecting critical IT systems and sensitive and protected university data ...

Data classification is also a critical part of data security. Statistics show that nearly 62% of U.S. firms suffered a data breach last year and over 80% contained a human element, including incidents ...

All SUNY Cortland’s data must be classified into one of the three categories and protected using appropriate security measures consistent with the minimum standards for the classification level as ...

The Data Classification Policy provides a framework for classifying institutional data based on its level of sensitivity, value, and importance to the University consistent with the University’s ...

Data classification is necessary for all organisations for reasons that range from simply putting data on the most cost-efficient media to ensuring legal and regulatory compliance ...