AI tools are quickly becoming part of everyday work. Whether it’s drafting emails, analysing data or creating content, your team is already finding ways to use tools like ChatGPT, Copilot, and others to work faster and smarter.
But alongside that opportunity comes a very real concern: how do you stop people (accidentally or not) putting sensitive business data into AI tools?
The honest answer is this: you can’t solve this problem by simply blocking access. And more importantly, you shouldn’t try to.
The real solution is to guide, protect and enable your team so they can use AI safely and confidently, without putting your (or your customer’s) data at risk.
Before looking at solutions, it’s important to understand the behaviour.
Your team isn’t trying to put your business at risk. They’re trying to do their jobs better, faster and with less frustration. AI tools offer exactly that, so people naturally start experimenting. Often without formal approval or guidance.
This is where something called “Shadow AI” comes in, where employees use AI tools outside of official company systems or policies.
One of the biggest challenges is that many employees don’t always recognise what counts as sensitive.
This can include:
The issue isn’t that people don’t care; it’s that the boundaries aren’t always clearly defined. Without guidance, it’s easy for someone to paste information into a public AI tool without realising where that data goes or how it could be used.
If your team can't use AI safely through office channels, they will find their own way to use it.
It might feel like the safest option - to restrict access completely, but in reality, this often creates a bigger problem.
When AI tools are blocked:
More importantly, it sends the message that AI is something to avoid, rather than something to use responsibly.
Blocking AI doesn't remove risk, it just pushes it somewhere you can't see or control.
Instead of trying to stop people using AI, the goal should be to help them use it safely and productively.
Here’s how that looks in practice:
1. Give your team an approved, secure AI tool to use
If you want people to stop using unapproved tools, you need to provide a better alternative. That’s where solutions like Microsoft Copilot come in. Unlike public AI platforms, Copilot operates within your existing Microsoft 365 environment, meaning:
When people have access to a trusted tool, they’re far less likely to turn to unknown or risky alternatives.
Policies don’t need to be complicated to be effective. In fact, the simpler they are, the more likely people are to follow them.
Focus on clear principles, such as:
Telling people what not to do is only half the picture. They also need to understand:
Training sessions, quick guides and real-life examples are far more effective than blanket restrictions.
When people understand the “why” behind the rules, they make better decisions.
A small shift in thinking can make a big difference.
Encourage your team to ask a simple question before using AI: “Would I be comfortable sharing this externally?”
If the answer is no, it probably shouldn’t be entered into a free or public AI tool. Over time, this builds good habits without slowing people down.
Safe AI isn’t about restricting people – it’s about helping them make better decisions
Alongside training and tools, there are technical measures that can support usage, such as:
These work quietly in the background, adding protection without disrupting day-to-day work.
It’s easy to focus on the risks, but it’s just an important to recognise the opportunity.
When AI is introduced properly, businesses see:
The difference comes down to how it’s implemented.
If AI is controlled through fear and restriction it creates resistance and workarounds. If it’s introduced with clear approved tools (with the right security), clear guidance, the right tools, and a supportive approach, it becomes a powerful advantage.
You don’t stop staff putting sensitive data into AI tools by saying “no”. You stop it by giving them a better, safer way to say “yes”. That means providing secure tools like Copilot or premium ChatGPT licenses, setting clear expectations, and helping your team understand how to use AI responsibly. When you get that balance right, you don’t just reduce risk – you unlock the full potential of AI across your business.