Most business owners are familiar with the usual cybersecurity threats: phishing, ransomware, stolen credentials. Less discussed is a risk that originates inside your organization. Shadow AI refers to the use of AI tools like ChatGPT, Gemini, or other AI browser extensions and writing assistants that employees adopt on their own, without IT’s knowledge or approval. An employee needs to summarize a report or draft a quick response, and there’s a free tool that does it in seconds. What’s the harm?
The problem is that consumer AI tools aren’t built for business data. When someone feeds a client contract, financial record, or internal proposal into one of these platforms, that information may be stored on servers outside your control, used to train future AI models, or exposed if that platform experiences a breach. There’s no log, no alert, and no visibility from your IT environment. For smaller businesses this tends to go undetected longest, because there’s no one whose job it is to watch for it.
The answer isn’t to ban AI tools, which is neither realistic nor necessary. What’s needed is a straightforward policy covering what categories of information shouldn’t go into an external AI platform, combined with approved business-grade alternatives so employees aren’t hunting for workarounds. Microsoft 365 Copilot is a practical example of AI productivity built on infrastructure that already incorporates your existing data privacy controls.
If your organization doesn’t currently have an AI use policy, you should be thinking about implementing one. As your IT provider, we can help you evaluate what makes sense for your environment and provide a template to get you started putting a basic AI usage policy in place.
