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.

Title: Data Classification and Protection Policy Effective Date: 2010 Responsible Office: Information Technology, Provost Last Revision Date: April 15, 2025 This document defines the William & Mary ...

The University at Buffalo (UB, university) has legal and ethical obligations to ensure that all forms of university data are adequately secured to minimize the risk of unauthorized use or disclosure.

Data classification may not be a new concept, but it is a crucial one in the information security landscape. It’s vital because once you classify data into its type, level of access, and protection ...

Data drives business, but data can be a double-edged sword. How can you limit access to that vital enterprise marketing plan, confidential account database or super-secret research report? On the ...

Data classification can be viewed as the act of putting data in buckets, based on the criteria of confidentiality, criticality, sensitivity/access control and retention. The basis for framing a data ...

According to a new Forrester report on data classification and discovery, “This is a foundational capability to develop to optimize your efforts for security, privacy and compliance. You can’t protect ...

Feature selection and classification are central to biomedical data analysis, enabling researchers to distil high-dimensional datasets into manageable, informative subsets and accurately categorise ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

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 ...