What changed
Cisco's 2025 Cybersecurity Readiness Index found that 60% of organizations don't know the specific requests employees make to AI tools. The gap isn't about whether people use AI—it's that standard monitoring tools weren't built to track AI activity. When someone pastes a customer list into ChatGPT or a public tool, IT sees normal web traffic. The data leaves, but the event is invisible.
The problem has three layers: employees using unapproved standalone tools, AI features embedded in approved software that wasn't reviewed for them, and autonomous agents acting inside systems faster than any human review. Each creates risk, but the fix starts with visibility.
What you can do with it now
Spend one hour Monday mapping where AI is actually being used in your team. Ask every person: which AI tools are you using, for what, and are you pasting company data into them? Don't ban anything yet—just write it down. Then pick the two tasks where people most often paste sensitive data and set up an approved alternative: a paid ChatGPT Team account, a Claude Pro workspace, or an internal tool where you can see and control what goes in. Make the safe path faster than the risky one, and usage will shift on its own. Track it monthly.
What to keep in your own hands
Never paste customer data, financial records, employee information, or your pricing into a public AI tool. If your contract says data is confidential, assume the AI provider's terms don't protect it enough. For any AI tool your team adopts, check: Can you delete your data? Can you export it? Who can see it? What happens if you stop paying? If the tool doesn't answer all four, don't put your core data there. And set one rule: if someone's not sure whether data is safe to share, the answer is no until you confirm.