Sensitive institutional data refers to data whose unauthorized disclosure may have an adverse effect on the university's reputation, resources, services, or individuals. Data protected under federal or state regulations, or due to proprietary, ethical, or privacy considerations will typically be classified as sensitive.
Artificial Intelligence and U-M Institutional Data
See guidance for using institutional data with AI tools.
U-M Data Classification Levels
All U-M institutional data is classified into one of four classifications or sensitivity levels.
Graduate Student Research Assistants (GSRAs) Protecting Data (pdf)
GSRAs can start here to understand their shared responsibility to protect sensitive data.
Protect Sensitive Data
Steps you can take to safeguard the data you work with.
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.
Sensitive Data Guide
Learn where to safely store and share sensitive data using IT services available at U-M.
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.
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.