Govern, Adopt, and Protect Your Microsoft 365 Workplace in an AI-Driven World

📝 Slide Deck

🔗 Useful Links from the Session:

Here are all the links that we shared during the meeting:

1. Google Search for Modern-Work-Plan-Comparison-Enterprise
2. Copilot Success Kit – Microsoft Adoption
3. Microsoft Teams Premium – Microsoft Adoption
4. Microsoft Customer Digital Experiences
5. Set Up Your Microsoft 365 Training Environment - Collab365 Academy Members
6. Developer Program - Microsoft 365 Dev Center

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Govern, Adopt, and Protect Your Microsoft 365 Workplace in an AI-Driven World

Microsoft 365 environments now blend remote work, multiple devices, and external collaborators. Generative AI tools like Copilot for Microsoft 365 and Azure OpenAI boost productivity but introduce risks around data exposure and compliance. Admins face pressure to balance flexibility with security in this hybrid setup.

In this workshop-style session, Jasper Oosterveld (Microsoft MVP for 11 years, data security and Microsoft 365 consultant) covers three core areas: data security for AI, governance frameworks, and adoption strategies. He draws from real-world consulting to share practical steps for tenant protection and user enablement.

What You Will Learn

• How to implement data loss prevention policies tailored for AI tools like Copilot in Microsoft 365
• Techniques for data classification and automated labeling to protect sensitive information in AI-driven workflows
• Setting up retention policies and communication compliance to manage AI-generated content lifecycles
• Strategies to mitigate internal and external threats when using generative AI in diverse workplaces
• Using Microsoft 365 Copilot policies and security monitoring to enforce data protection rules
• Best practices for AI governance including principles from Microsoft and compliance with regulations like GDPR
• Adoption approaches with resources like the Copilot Success Kit and Teams Premium guidance for smooth rollout

Key Takeaways

1. Prioritise data classification before AI activation. Jasper stresses starting with sensitivity labels in Microsoft Purview to automatically flag and protect data before it reaches Copilot or other AI services.
2. Leverage DLP for AI-specific scenarios. Configure data loss prevention rules that block sensitive data from being processed by AI, using endpoint and cloud app controls to cover hybrid work patterns.
3. Build governance with adoption kits. Use Microsoft's Copilot Success Kit for structured rollout plans, combining training environments and developer sandboxes to test AI features safely.
4. Monitor AI usage through auditing tools. Enable communication compliance and advanced auditing in Microsoft 365 to track AI interactions and detect potential data leaks early.

About the Speaker

Jasper Oosterveld is a Microsoft MVP for 11 years specialising in data security and Microsoft 365. Based in Amsterdam, Netherlands, he consults on connected topics like security and governance, runs a blog, and speaks at user groups and events worldwide. His experience includes workshops for diverse audiences from internal IT teams to external consultants.

Who Should Watch This

This session suits Microsoft 365 admins and security pros managing AI rollouts who need actionable steps for data protection and governance. You will gain value if your organisation uses Copilot or plans to, especially in regulated industries like insurance facing GDPR challenges.

Business analysts and adoption leads will find the success kits and rollout strategies useful for enabling users without compromising security. Skip if you already run mature Purview-based DLP and governance frameworks, though Jasper's real-world threat examples may still provide fresh perspectives on AI-specific risks.