Your data is already exposed.
A board-level look at how Microsoft 365 Copilot and everyday AI tools quietly surface sensitive data, with real examples. No vendor pitches, no product demos.
The exposure most organisations cannot see, until AI surfaces it.
Forty-five practical minutes on why sensitive data quietly accumulates in the wrong places, and what an AI assistant like Copilot will surface the moment you switch it on.
The root cause
Why joiner-mover-leaver processes without risk analysis quietly hand the wrong people access, and how it compounds over years.
OneDrive to public SharePoint
How sensitive files get copied into sites shared with "everyone", and become instantly searchable the day Copilot arrives.
Access that never gets cleaned up
Teams get renamed, libraries are forgotten, internal and external members pile up, and nobody owns the permissions.
Backups and migrated data
Old migrations and backups left in insecure locations, and post-incident data still sitting exposed long after.
What Copilot actually surfaces
Real Microsoft 365 examples of an AI assistant returning data its user should never have been able to reach.
How to get ahead of it
The practical order of work, discover, classify, tighten access, add guardrails, so you adopt AI with confidence.
The data governance plan, yours to use.
The companion to the webinar: our SharePoint document library architecture, the identity-driven access model that makes your data tidy, governed and ready for AI. Read the full plan, and take the structure workbook to plan your own folders, groups and permissions in.

Document structure workbook
Editable: roles and teams, folder access layers, metadata, document types and naming.

Document library architecture
The full plan, also available as an editable Word doc to adapt for your organisation.
Built for the people who carry the risk, not just run the tools.
Framed for leaders weighing up AI: executives, IT and security leads, risk and compliance owners, and anyone about to switch on Copilot.
You'll leave knowing
- →Where your sensitive data is most likely over-exposed
- →What an AI assistant would reveal on day one
- →The order to fix it in, without stalling the business
Want this run against your environment?
A short conversation, then a structured look at where your data actually sits and who can reach it.