There is a common belief that security and innovation are at odds. The concern is that if you introduce too many rules, people will avoid using AI altogether or feel restricted in their work. The reality is the opposite. When employees know which tools are safe to use and what data they can share, they feel more confident experimenting with AI in ways that genuinely help the business.
Most unsafe AI use happens when people are unclear about expectations. They want to work efficiently, so they try a tool that seems harmless. The problem is rarely intentional. It comes from a lack of guidance.
Creating a culture of safe AI use starts with education. Employees need to understand not only the risks, but also the reasons behind the guidelines. Explain how customer data, internal documentation, or network information can be exposed when placed in external AI systems. When people see the real impact of these actions, they make better choices.
Next, give your team the right tools. When employees have access to an approved AI system that is secure and managed internally, they are far less likely to look for alternatives. Safe tools support innovation while still protecting customer information and intellectual property.
Clarity is equally important. Provide a short reference guide that helps employees answer one key question. Is the data I am sharing appropriate for this tool?. Simple rules help people make the right decisions quickly.
The most successful broadband providers are not avoiding AI - they are setting boundaries that allow innovation to thrive without creating unnecessary risk. Good governance speeds up progress because employees no longer wonder if something is allowed. They know how to use AI responsibly and with confidence.
To help your organization establish these practices, download the Broadband AI Security Framework. It includes templates, policy guidance, and practical tools to make AI adoption safe and sustainable.