published

AB-730 Privacy, Security, and Data Protection: Safe Copilot Workflows

Understand how privacy, security, permissions, sensitivity labels, and protected data shape safe Microsoft Copilot workflows for AB-730.

ab-730 6m20s Beginner

Companion notes

Lesson summary

This module focuses on safe Copilot use: AI productivity does not remove the need for privacy, security, data protection, and good judgment.

Key ideas

  • Sensitive data changes the answer. The right workflow depends on what data is involved and how it is protected.
  • Identity and permissions still define what users should be able to access.
  • Sensitivity labels, retention, governance, and organizational policies influence safe AI use.
  • Human review matters when AI output affects customers, employees, compliance, or business decisions.

Practice focus

When an AB-730 scenario involves confidential data, regulated information, or broad sharing, slow down and identify the safest workflow: protect the data, respect permissions, keep humans in the loop, and avoid exposing information unnecessarily.