The purpose of this standard is to assist Users, Stewards, Managers, and Information Service Providers in identifying what level of security is required to protect data for which they are responsible.

The purpose of this standard is to provide the University community with a framework for securing information from risks including, but not limited to, unauthorized use, access, disclosure, ...

This document provides an expanded list of representative examples of data classified as Level One data. This list is provided to help stewards, users, managers, and information service providers with ...

This Policy serves as a foundation for the University’s data security practices and is consistent with the University’s data and records management standards. The University recognizes that the value ...

The University at Buffalo, (UB, university) classifies data into three risk-based categories to regulate access to, use of, and necessary precautions required to the protect university data. This ...

The University at Buffalo is committed to protecting the confidentiality, integrity, and availability of data important to the university’s mission. All university data must be classified based on ...

As companies face legal and security imperatives to track and organize growing amounts of data, in-house counsel might not know where to start. As growing amounts of data move through company networks ...

Across the legal industry, from law firms and legal departments to legal technology companies and others in the legal landscape, data lays the foundation for modernization and advancement in the ...

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 ...

The Storage Networking Industry Association expects to release by the middle of 2005 a standard for classifying data in order to store it according to its business importance. In October, the SNIA ...

An initiative by several leading Canadian banks to develop standards for data classification has shined an unwanted spotlight on U.S. banks, which appear to be unwilling to follow suit. A working ...