All university data is classified into one of four levels based on sensitivity and risk of harm to individuals and the university in the event of a breach or unauthorized disclosure. Data must be collected, stored, and used in accordance with security and appropriate use requirements based on sensitivity level.
These resources are designed to help the U-M community keep university data protected:
- U-M Data Classification Levels
Learn about data sensitivity levels and see examples. - Sensitive Data Guide
Learn where to safely store and share sensitive data using IT services available at U-M. - Artificial Intelligence and U-M Institutional Data
See guidance for using institutional data with AI tools. - Protect Sensitive Data
Steps you can take to safeguard the data you work with. - Sensitive U-M Data on Personal Devices
Most work with sensitive data is done on work devices. Some departments, however, allow their staff to use personal devices with this data, requiring special rules. - Safely Use Sensitive Data in the Cloud
Choose the right cloud computing resources for your type of sensitive data. - Sensitive Data Discovery
Checks done on MiWorkspace computers to ensure sensitive data is not being stored unnecessarily or improperly. Available to non-MiWorkspace units on request. - Graduate Student Research Assistants (GSRAs) Protecting Data (pdf)
GSRAs can start here to understand their shared responsibility to protect sensitive data. - Virtru: Added Security for Your GMail
U-M faculty, staff, and students can add an extra layer of security to their confidential U-M GMail email messages by using Virtru for end-to-end encrypted email.