The Hidden Risks of AI Tools at Work (and How to Use Them Safely)

Most businesses haven't made an official decision about AI tools — employees have just started using ChatGPT, Copilot, or similar tools on their own, because they're useful and freely available. That's not necessarily a problem. The problem is that most businesses haven't thought through what can go wrong, which means nobody's actually managing the risk.

Data Leakage: The Biggest Practical Risk

Free, consumer-facing AI tools often use what you type as training data unless you've specifically configured (or paid for) a setting that opts out. An employee pasting a client contract, patient information, or internal financial data into a public AI chat tool to "summarize this" can mean that data has effectively left your control — with no audit trail and no way to pull it back.

AI-Powered Phishing Is Genuinely Better Than It Used to Be

The old advice — watch for bad grammar and awkward phrasing — matters a lot less now. AI tools let attackers write fluent, well-formatted, personalized phishing emails at scale, and voice-cloning tools have made phone-based social engineering ("urgent call from the CEO") a real, not hypothetical, threat for businesses of any size.

Source: CISA — Guidance on Using AI Systems Securely

"Shadow AI": Tools You Don't Know Are Being Used

Similar to "shadow IT" (unapproved software employees install on their own), shadow AI is the growing list of AI-powered browser extensions, plugins, and web tools staff adopt without IT ever knowing they exist — each one a potential path for company data to end up somewhere nobody signed off on.

What Reasonable AI Usage Actually Looks Like

• A clear, simple policy on what categories of data should never go into a public AI tool (client information, financial data, credentials, anything covered by a compliance framework like HIPAA)
• Using business-tier AI tools (like Microsoft Copilot within a Microsoft 365 tenant) that carry real data-handling commitments, instead of free consumer tools, for anything work-related
• Basic staff awareness of what AI-powered phishing and deepfake attempts actually look like now, not the outdated version
• A known point of contact for "is it okay to use this AI tool for X," so the decision isn't left to individual guesswork

None of this means avoiding AI tools — used well, they're a genuine productivity gain. It means treating AI adoption the same way you'd treat any other new category of business software: with a basic policy and a little staff training, not silence and hoping for the best.

If your team is already using AI tools without much guidance (most are), our AI & Technology Skills Training covers exactly this — practical usage plus the specific risks — schedule a free consultation to talk through what that would look like for your team.