Written for the CIO.
The biggest near-term AI risk across most estates isn’t a rogue system — it’s an ordinary employee pasting confidential data into a public tool, invisibly. For a CIO, the work is turning that invisible risk into governed, visible use.
Walk any information estate today and you’ll find AI already in use — unsanctioned, unlogged, undiscussed in any governance forum. Someone is using it to summarise a document, rewrite an email, make sense of a spreadsheet. The technology arrived before the policy did. For a CIO, that’s the actual starting position, whether or not it’s been acknowledged.
This is why the questions at senior level increasingly cluster on two topics: AI and security. The demos stop being novel; the worry that replaces them is durable and board-level — if our people are using these tools, what is happening to our information?
The mistake that makes it worse
Faced with that worry, the instinct of a responsible organisation is to ban AI. It feels like control. It is, in practice, the single move most likely to make the problem worse — because banning AI doesn’t stop it, it creates shadow AI. People who found the tools genuinely useful don’t stop; they move to phones, personal email, home accounts. The work still happens with AI; it just happens somewhere you can’t see, govern, or log. You’ve converted a manageable, visible risk into an invisible one. The prohibition removed your visibility, not the behaviour.
And the exposure is mundane, not exotic. It’s a client list, a draft contract, a set of management accounts, or a sensitive record pasted into a public tool “just to get a quick summary.” The more regulated or confidential the material, the less appropriate a generic public tool becomes — and, unhelpfully, the most sensitive documents are often the long, complex ones AI is most tempting for.
What good looks like — as estate work
The mature response isn’t ban-it or ignore-it. It’s controlled enablement, and it maps onto disciplines a CIO already runs:
An approved, configured tool stack. A small, named set of tools the organisation has chosen and configured — including the settings that keep your content from training the model, where available. “Which AI should I use?” gets a sanctioned answer.
A short, readable acceptable-use policy. One page, not forty: what may go in, what must never, which tools are approved, who to ask. Read in five minutes or it protects no one.
Technical controls where they fit. DLP, monitoring, tenant configuration and identity controls applied to AI usage as you would to any other data-handling channel.
A named owner and a usage review. Someone accountable for keeping the stack current and reviewing how AI is actually used. Unowned policies decay.
None of this kills the upside. Done well, it’s what lets you keep the upside — your people get the productivity wins without quietly exporting the organisation’s confidential data to get them.
A necessary caveat: no control set guarantees a particular security or regulatory outcome, and this isn’t legal advice. The goal is defensible, visible, governed use rather than a false promise of zero risk.
The leadership question
Two questions tell you most: which data must never go into a public tool, and does every member of staff know? And if someone pasted a confidential document into one last week, would we even know? For most estates the honest answer to the second is no — which is the reason to act before the incident, not after.
Try this prompt
Frame a shadow-AI baseline with your team:
“Act as an information governance adviser to a CIO. Help me design a lightweight shadow-AI assessment: what to ask staff to understand which AI tools are actually in use, what data is likely being exposed, which technical controls (DLP, tenant settings, identity) would reduce risk fastest, and what a one-page acceptable-use policy should contain. Keep it practical and non-punitive.”
What to do next
Run an honest, blame-free baseline of what’s actually in use, then move quickly to the approved stack and the one-page policy, with an owner named. Those first moves convert silent, ungoverned use into visible, governed use — the single biggest risk reduction available to you here.
In closing
Shadow AI is where AI curiosity quietly becomes a governance problem across the estate. Handled badly, it’s a slow, invisible leak. Handled well, it’s the moment the organisation chooses to grow with AI and keep control of its own data.
If your information leadership would value a structured session on getting shadow AI under control without driving it underground, that’s exactly what Savant and Axulu provide — and where deeper capability is needed, Savant can connect you to fractional or interim security and information leaders.