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, ...

Information Security and the Chief Data Officer serve as the initiating authority for this policy. Data and information are important assets of the University and must be protected from loss of ...

Healthcare and financial services organizations have embraced cloud technology due to the ease of managing increasing volumes of data, according to Blancco. Cloud adoption has had significant effects ...

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 ...

All college data are classified into levels of sensitivity to provide a basis for understanding and managing college data. Accurate classification provides the basis to apply an appropriate level of ...

Data classification is a helpful tool to protect sensitive data and guard against data leakage. Despite organizations using it for years to safeguard data, its potential use in backup and compliance ...

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 ...

Sentra, the cloud data security leader, is announcing the integration of large language models (LLMs) into its data classification engine, re-envisioning data security as even more proactive, ...

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 ...