Let’s start with a simple question.
Do you know which AI tools your team is using at work… and what they’re putting into them?
Most business owners assume they do.
Until they look closer.
Tools like ChatGPT and Google Gemini have quickly become part of everyday work.
They help teams move faster. Draft emails. Summarise documents. Generate ideas. Solve problems more efficiently.
From a productivity standpoint, the benefits are clear.
But the speed of adoption has created a gap.
Governance has not kept up.
AI usage across businesses has increased rapidly.
The number of users has grown significantly in a short period of time. Prompt usage has expanded just as quickly, with some organisations sending tens of thousands of prompts every month.
At the higher end, usage now reaches into the millions.
This is no longer early adoption.
AI is now part of how work gets done.
Here’s where the risk starts to build.
A large portion of employees using AI tools are doing so through personal accounts or unsanctioned applications.
This is often referred to as “shadow AI”.
It means business data is being entered into systems that sit outside your visibility and control.
You cannot monitor it.
You cannot audit it.
You cannot manage where that information ends up.
And in most cases, it is not intentional.
Every time someone uses an AI tool, they are sharing information.
That information may include:
In many cases, this is done without understanding the risk.
Recent findings show that incidents involving sensitive data being shared with AI tools have increased significantly, with organisations now seeing these events on a regular basis.
This is not a rare occurrence.
It is happening daily inside businesses.
Cyber risk is often viewed as something external.
Something that comes from hackers, malware, or targeted attacks.
AI introduces a different type of risk.
One that comes from within the business.
Not from malicious intent, but from capable employees trying to work more efficiently.
Sometimes, it is as simple as copying and pasting the wrong information into the wrong tool at the wrong time.
There is also a compliance dimension that cannot be ignored.
If your organisation handles sensitive information or operates in a regulated environment, uncontrolled AI usage can lead to:
These issues often go unnoticed until there is a problem.
At the same time, external threats are becoming more advanced, with attackers using AI to analyse exposed data and create more targeted attacks.
At this point, banning AI is not practical.
Your team is already using it.
And in many cases, it is improving productivity.
Ignoring the risk is not a solution either.
The businesses that will benefit most from AI are not the ones that avoid it.
They are the ones that manage it properly.
Effective AI governance includes:
This is not about slowing your team down.
It is about making sure productivity does not come at the expense of security, compliance, and control.
AI is already part of your operations.
The risk is not whether it is being used.
The risk is whether it is being used without structure.
Bringing governance into how AI is used gives you clarity, control, and confidence moving forward.
AI is already being used across your business.
The only question is whether it’s being governed properly.
We work with business leaders to bring visibility, control, and structure to how AI is used across their teams, without slowing them down.
If you don’t have a clear view of your current exposure, now is the time to address it.
Book a quick call with our team to understand where you stand and what to do next.
