The AI-Security Tradeoff Every Leader Must Solve
Description
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The episode explores how Chris Stegh sees organisations balancing AI adoption with data security, governance and practical risk management. It covers the real barriers to scaling AI, why perfect data hygiene is unrealistic, and how leaders can use tools like Copilot, Purview and agentic AI to create safe, high‑value use cases while improving long‑term resilience.
🎙️ Full Show Notes
https://www.microsoftinnovationpodcast.com/782
👉 What you’ll learn
- How AI adoption is shaped by data security, quality and internal risk
- How to evaluate AI ROI beyond individual productivity gains
- How agentic AI supports secure, targeted use cases
- How Zero Trust thinking guides safer AI rollout
- How enterprise and SMB adoption patterns differ
✅ Highlights
- “Data security is top of everyone’s mind.”
- “There hasn’t been a front page news article about data overexposure.”
- “AI is a long journey and we are just getting started.”
- “They’ll try to clamp down on Shadow AI.”
- “No one wants to clean up their data.”
- “Agents can give the good, real content front page.”
- “Everyone wants to evaluate payback period.”
- “Look at the end to end business process.”
- “Small and mediums are going to lag in those spaces.”
- “Some customers said we don’t see the use.”
🧰 Mentioned
- Microsoft Copilot: https://copilot.microsoft.com/
- Microsoft Purview: https://www.microsoft.com/en-us/security/business/microsoft-purview
- OpenAI: https://www.openai.com
- Microsoft MVP YouTube Series - How to Become a Microsoft MVP - https://www.youtube.com/playlist?list=PLzf0yupPbVkqdRJDPVE4PtTlm6quDhiu7
- Chris' book on GenAI in the enterprise - Elevate The Enterprise Using Microsoft 365 Copilot: A Guide for Power Users, CxOs, and IT Pros - https://www.amazon.com/Elevate-Enterprise-Using-Copilot-Microsoft/dp/B0D6PZ539W
✅ Keywords
ai adoption, data security, governance, copilot, purview, shadow ai, agentic ai, zero trust, productivity, smb, enterprise, risk management
If you want to get in touch with me, you can message me here on Linkedin.
Thanks for listening 🚀 - Mark Smith























