Scaling Copilot: Hidden Risks & Data Exposure

Most organizations are adopting Microsoft Copilot as a natural extension of their existing Microsoft environment, but scaling it is not as simple as assigning licenses.

In this discussion, Punit Bhatia and Ben Wilcox explore what really happens when Copilot is introduced into environments with scattered data, unstructured information, and complex access permissions.

They highlight how AI doesn’t create new risks but makes existing ones visible and usable. Copilot can surface data based on access rights even when those permissions were never properly reviewed.

A real-world example shows how an employee unintentionally accessed a coworker’s personal improvement plan due to misconfigured permissions, turning it into a potential privacy breach.

The conversation emphasizes that successful Copilot adoption requires proper data governance, clear access controls, and mechanisms such as data classification, sensitivity labeling, and encryption.

This is not a plug-and-play exercise organization that must prepare their data before scaling AI.

🎧 To catch the full discussion, search FIT4Privacy on YouTube, Spotify, or Apple Podcasts.

Resources & Links

Guest Links

Ben Wilcox

• LinkedIn: https://www.linkedin.com/in/ben-wilcox/

• Website: https://www.proarch.com

Grow Skills (Privacy Courses & Insights)

• Courses: https://growskills.store/courses/

• Insights: https://growskills.store/insights/

• Website: https://growskills.store/

FIT4Privacy

• Website: https://www.fit4privacy.com

• Podcast: https://www.fit4privacy.com/podcast

• Blog: https://www.fit4privacy.com/blog

• YouTube: http://youtube.com/fit4privacy

Punit Bhatia

• Website: https://www.punitbhatia.com

Books

• Be Ready for GDPR

• AI & Privacy – How to Find Balance

• Intro to GDPR

• Be an Effective DPO