We have secured our own internal AI usage, but we realize our key vendors are quietly integrating AI into their own software. How do we audit our third-party vendors' AI usage to protect our sensitive client data without micro-managing their operations?

Question

Tyler Smith · Accepted Answer

You cannot control how your vendors run their businesses, but you can control who has access to your operational data. To protect your company and prepare for a clean exit, you must make vendor AI data security a standard part of your procurement and review process.

Add a simple, non-negotiable checklist to your vendor onboarding process. Every vendor who touches your financial, employee, or customer data must sign a basic data addendum. This addendum should state that they will not use your proprietary data to train any public or third-party artificial intelligence models.

Next, have your Integrator review your top five software vendors during your quarterly planning. Ask these vendors for their written AI data governance policy. If a vendor cannot provide a clear statement on how they isolate and protect your data within their AI systems, treat it as a significant risk. Bring this issue to your next quarterly Level 10 Meeting™ and begin looking for alternative vendors.

This level of operational risk management is critical. A strategic buyer reviewing your business during due diligence will scrutinize how secure your entire data supply chain is. Showing them that you proactively manage vendor AI risks proves your business is highly professional and secure.