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, ...

Organizations need to internalize a simple principle: Calling an LLM API is a data transfer. You're trusting the provider ...

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.

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 ...

DoControl, a leader in SaaS data security, today expanded its platform into data-at-rest classification - combining access ...

Data governance frameworks were built for a world where humans created most data, but AI has changed that equation.

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 ...

Effective data protection hinges on data classification and risk assessment. This article explores how classifying data based on sensitivity enables targeted security measures and efficient resource ...

A data classification policy template gives you a repeatable way to define how your organization labels and protects data, so teams always know what’s sensitive, what’s not, and how to handle each ...

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 ...