Ask your IT department which AI tools your organisation uses and you will get a list of approved applications. Ask your employees and the answer is different.
That gap has a name: shadow AI. And it is not a technology problem. It is a governance problem, and one of the less visible weak spots in many organisations.
An employee pastes a contract into a public chatbot for a quick summary. A manager uploads a strategy memo to a free tool. A developer shares code with an assistant that stores everything it is given. No one is acting in bad faith. But it all happens without review, logging or clear ownership.
Why This Belongs in the Boardroom
- A data leak without an incident report. You cannot protect what you cannot see. If sensitive information leaves your organisation through tools that are not in your inventory, you have no evidence, no basis for a breach notification assessment and no way to recover.
- Ownership that lies with no one. When something goes wrong, the question "who was responsible?" cannot be answered. That is a governance question, not a technical one.
- A supply chain you did not choose. What employees enter often ends up with third parties that have their own terms and conditions. Your risk reaches well beyond your own walls.
Visibility, Not a Ban
Banning AI tools rarely works. It mostly drives the behaviour further out of sight. A better response is visibility: know which AI tools are used in your organisation, where the data goes and who is responsible for it.
That is what good security and privacy work does: it makes the invisible visible. Not to show control for its own sake, but so you can make choices about what is allowed, where you draw the line and what needs to change. This is also where privacy governance and security governance meet, an area our team works on every day (more about our team). And as we discuss in The Hands On CISO podcast, people and culture matter at least as much as tooling.
The same pattern shows up on the attacker's side: AI amplifies weak spots that already existed, as described in AI and the speed of attack.
So the question for your leadership team is simple: do you see how AI is actually used in your organisation, or only the part IT has approved?
Making that visible should not bury your team in extra work. You might want to read this too: From chasing evidence to making decisions