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Insider Threat Matrix™Insider Threat Matrix™
  • ID: PR018.007
  • Created: 17th April 2025
  • Updated: 22nd April 2025
  • Platforms: WindowsLinuxMacOSiOSAndroid
  • Contributor: Lawrence Rake

Downgrading Microsoft Information Protection (MIP) labels

A subject may intentionally downgrade the Microsoft Information Protection (MIP) label applied to a file in order to obscure the sensitivity of its contents and bypass security controls. MIP labels are designed to classify and protect files based on their sensitivity—ranging from “Public” to “Highly Confidential”—and are often used to enforce Data Loss Prevention (DLP), access restrictions, encryption, and monitoring policies.

 

By reducing a file's label classification, the subject may make the file appear innocuous, thus reducing the likelihood of triggering alerts or blocks by email filters, endpoint monitoring tools, or other security mechanisms.

 

This technique can enable the unauthorized exfiltration or misuse of sensitive data while evading established security measures. It may indicate premeditated policy evasion and can significantly weaken the organization’s data protection posture.

 

Examples of Use:

  • A subject downgrades a financial strategy document from Highly Confidential to Public before emailing it to a personal address, bypassing DLP policies that would normally prevent such transmission.
  • A user removes a classification label entirely from an engineering design document to upload it to a non-corporate cloud storage provider without triggering security controls.
  • An insider reclassifies multiple project files from Confidential to Internal Use Only to facilitate mass copying to a removable USB device.

 

Detection Considerations:

  • Monitoring for sudden or unexplained MIP label downgrades, especially in proximity to data transfer events (e.g., email sends, cloud uploads, USB copies).
  • Correlating audit logs from Microsoft Purview (formerly Microsoft Information Protection) with outbound data transfer events.
  • Use of Data Classification Analytics to detect label changes on high-value files without associated business justification.
  • Reviewing file access and modification logs to identify users who have altered classification metadata prior to suspicious activity.