Description
This session provides actionable insights into how Microsoft 365 Copilot integrates with modern information governance (IG) practices. Drawing on direct collaboration with Microsoft product teams, the speakers cover how Copilot uses large language models, what data it accesses, and how to govern prompts, responses, and interactions through retention policies, sensitivity labels, and audit controls. Participants will also learn about emerging features like secure no-trace meetings, prompts-as-records debates, and real-world lessons in configuring access, privacy, and defensibility across their tenant.
NOTE:
This session applies to Microsoft 365 Copilot features as of 2024. Future users should confirm availability of discussed tools and interface.
Learning Objectives
Upon completing this session, learners will be able to:
- Explain how Microsoft 365 Copilot uses large language models, organizational data, and APIs.
- Apply retention policies and sensitivity labels to control Copilot interactions, prompts, and responses.
- Assess the implications of secure no-trace meetings and ephemeral transcript settings.
- Differentiate between Copilot and other AI tools like Bing Chat or commercial data protection layers.
- Make governance decisions based on tenant-level configuration options, user roles, and risk tolerance.
ABOUT
Format
On Demand Conference Recording
Language
English
Year Published
2024
Credits
1.0 IGP-PRIVACY
💻
Software
Microsoft 365 Copilot, 2024
This session is an On Demand Conference Recording from 2024.
