Microsoft Copilot is rolling out across organisations faster than IT can update the acceptable use policy. And with it comes the inevitable boardroom question:
What does this do to our risk profile?
Short answer: nothing.
Longer answer: nothing you didn't already have.
Copilot is not introducing new risk into your organisation. What it’s doing is finding the risk that was already there, turning the lights on, and handing it a megaphone.
Say your data governance is a bit... relaxed. Files shared a little too freely. Permissions granted a little too generously. Nobody quite sure who has access to what, but it's fine, because nobody's really looking.
That's the risk. That was always the risk. Copilot didn't create it. What Copilot does is sit down in the middle of your slightly chaotic permissions structure and start answering questions. Helpfully. Accurately. To anyone who asks.
So when Dave from Accounts discovers he can ask Copilot to summarise last quarter's board minutes, and Copilot obliges (because technically Dave does have read access to that SharePoint folder from 2019, when someone was setting up a project and forgot to tidy up), that's not a Copilot problem.
That's a seven-year-old housekeeping problem that's just become impossible to ignore.
Security by obscurity (and why it no longer works)
There's a term for what most organisations have been relying on: security by obscurity.
The file exists. It's technically accessible. But it's buried four site collections deep, inside a folder called "Archive_OLD_v2_FINAL", inside another folder that someone created in 2017 and never mentioned again.
A human would give up. Search indexes haven’t historically helped much either - maybe they didn’t find it, or they returned so much noise that nobody bothered digging through the results. So, the information just sat there. Invisible through sheer inconvenience.
AI changes that. It doesn't get bored. It doesn't give up. It doesn’t stop at page one of search results.
It surfaces what exists, based on what's permitted, and it does so in about three seconds. That means the gap between "technically accessible" and "actually accessible" has disappeared. And with it, the illusion of control.
What Copilot is really exposing
This is the part that matters. AI doesn’t create governance problems; it exposes them at scale.
The most useful thing AI integration does for an organisation is convert latent risk into something concrete enough to actually fix. It highlights:
Over-permissioned SharePoint sites
Forgotten access groups
Legacy data that was never cleaned up
Inconsistent policies across teams and departments
These problems were always there. They were just harder to see. Now they’re visible, queryable, and usable, which means the shift isn’t just technical - it's operational.
Organisations can no longer rely on “nobody will find that” as a control. They need to know what data they have, who can access it, and whether that access still makes sense.
Fixing the foundations
The organisations getting wound up about Copilot risk are, in many cases, the organisations who should be getting wound up about their data governance. The instinct is to control the AI - restricting prompts, monitoring usage, and creating new policies. But that’s treating the symptom, not the cause.
The AI is the messenger. Building elaborate prompt governance frameworks before you've sorted out who has access to what is, diplomatically, backwards. If the underlying permissions model is flawed, controlling how people ask questions doesn’t solve the problem. It just delays it.
Sort the actual risk. Then let the tools in.
Or don't. And look forward to the very exciting moment when a routine Copilot demo surfaces something that should have been locked down in 2021.
How Nasstar can help
If Copilot, or other AI solutions, feel like they’re introducing risk into your organisation, it’s usually just that they’re exposing what was already there. That visibility can be uncomfortable, but it’s also useful. Once you understand where your data sits, who has access, and how it’s being used, you can fix it properly.
At Nasstar, we help organisations take a pragmatic approach to AI readiness, starting with the foundations. We’ll help you create a model where access is intentional, data is understood, and AI can be introduced with confidence.
