I am a non-technical owner who wants to transition our ops to AI, but I am terrified of losing control of our actual data. How do I audit our AI data security and compliance without hiring a costly consultant?

Question

Tyler Smith · Accepted Answer

You do not need a computer science degree to protect your business. Data security is an operational discipline, not a technical mystery. Start by implementing a simple rule for your team: no company data, client information, or proprietary IP is allowed into any public or consumer-grade AI tool. If your team is using the free version of ChatGPT, your business data is likely being used to train public models.

Your first step is setting up corporate accounts with enterprise-grade providers that guarantee data privacy, such as OpenAI Team or Enterprise, or Microsoft Copilot. These agreements legally bind the provider to keep your data private and excluded from their training sets.

Next, assign ownership of AI data security to a single seat on your Accountability Chart, typically your Operations Leader or IT Lead. Have them run a quarterly audit of all active AI tools. The audit should answer three questions. First, what data is this tool accessing? Second, is our data being used for model training? Third, who on our team has access to this tool?

By keeping your data policy simple and legally protected through enterprise agreements, you can leverage high-powered AI workflows without risking your intellectual property. This approach keeps your operations secure and prepared for a clean future exit.