Your staff are already pasting company data into AI tools

Nobody asked permission, nobody thought it was risky, and most of it never touched a corporate account.

Ask any IT team whether staff use AI tools at work and you'll get a confident yes. Ask which tools, how often, and with what data, and the confidence disappears.

That gap is shadow AI, and in most businesses it grew faster than any policy could keep up with.

What's actually being pasted in

Not state secrets. Ordinary work, which is exactly why it doesn't feel risky in the moment.

• A contract pasted in to summarise the key terms before a meeting.
• Customer records dropped into a prompt to reformat a messy spreadsheet.
• Source code shared to debug an error nobody can find.
• Draft financials used to generate commentary for a board pack.
• A support transcript, complete with customer details, sent in to draft a reply.

Every one of those is someone doing their job faster. That's the difficulty — the behaviour is productive, which is why banning it fails.

Why the data doesn't come back

Depending on the tool and the account type, prompts may be retained, reviewed by humans for quality, or used to improve models. Consumer accounts generally offer weaker guarantees than business tiers, and staff overwhelmingly use consumer accounts because they're free and already signed in.

Once it's pasted in, you can't recall it, you can't audit who saw it, and you usually can't prove what left.

For regulated data, that's a compliance problem as much as a security one — you're obliged to know where personal data goes, and this is a route with no record.

Blocking doesn't work, and makes things worse

The instinct is to block AI domains at the firewall. It fails for two reasons. New tools appear constantly, so the blocklist is always behind. And people who found AI genuinely useful will simply use their phone, which removes the last shred of visibility you had.

You've traded a manageable risk for an invisible one.

What actually works

Start with visibility. You cannot govern usage you can't see. Find out which AI tools are being used, by whom, and how often. The results are usually surprising in both directions — more tools than expected, and often heavy use in departments nobody suspected.

Then provide a sanctioned option. If there's an approved tool with business-grade data handling, most people will use it, because they weren't trying to be reckless in the first place.

Then apply controls to what matters. Data loss prevention can inspect what's being submitted and stop specific categories — customer records, payment data, source code — from leaving, without blocking AI use entirely.

Finally, write a policy people can actually follow. "Don't use AI" gets ignored. "Use this tool, and never paste customer data, credentials or unreleased financials" gets followed, because it's specific and it leaves the useful part intact.

The honest position

AI tools are going to be part of how your business works. The question was never whether to allow them. It's whether you can see what's happening and put sensible limits around the parts that genuinely matter.