[Insider Insights] Copilot as a Security Stress Test: Fixing Oversharing, Data Risk & Shadow AI Fast
Tuesday, 19th of May from 2:00 - 3:00 pm
For many organisations, Copilot has become an unexpected mirror - revealing oversharing, risky data habits and gaps in governance that previously went undetected. And while that can feel daunting, it's actually an opportunity. When approached the right way, Copilot becomes the fastest route to improving security, data hygiene, and governance across your Microsoft 365 estate. To help you take advantage of that momentum, we’re hosting a value-packed session where we will discuss how to identify risky behaviour in your tenant and how to implement the right governance to protect your data in the age of AI.
3 Key Takeaways
Learn how to reduce data exposure without overwhelming your organisation, freezing collaboration or stifling innovation.
Discover how you can manage shadow AI, oversharing and other risky behaviour without shutting people down.
Unlock actionable guidance, a ready-made prioritisation plan, and a new sense of control around AI adoption.
Honest Insights From Storm's Copilot Team
Following on from part 1 of our insider insights series, where we discussed how to get the most from your Copilot for M365 rollout, we're hosting part 2, where we will explore one of the most crucial aspects of a successful Copilot deployment - security and data governance.
Many organisations have shown concerns around how Copilot may introduce new business risk. However, the reality is Copilot doesn't create risk. It simply exposes potential risks you already have lying within your estate. Overshared links. Incorrect permissions. Shadow AI use. If you want to learn how to tackle governance head-on, join our virtual fireside chat on Tuesday, 19th of May, 2026, from 2:00 - 3:00 pm (GMT+1), where we will share our insider insights on how you can secure your Microsoft 365 and enhance your Copilot output.
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Agenda
This session will cover:
Why Copilot doesn’t create risk – it exposes what’s already there.
The oversharing patterns we’re seeing across real organisations.
How to identify risky data quickly.
What a right-sized AI governance model looks like (no bureaucracy required).
How to manage shadow AI behaviour without shutting people down.
A roadmap to reduce exposure quickly and safely.
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