We are preparing for an exit in two years and want to ensure a buyer does not see our AI integrations as a security risk. How do we perform an AI security audit that satisfies a private equity buyer's due diligence team?

Question

Tyler Smith · Accepted Answer

Private equity buyers are increasingly auditing target companies for technology risks, specifically around data privacy and intellectual property leakage through consumer AI tools. To prepare for a clean exit, you must document every AI tool used in your operations. Create a registry that details what data is sent to each tool, where that data is stored, and whether the provider uses your data to train their public models. Ensure your team is using enterprise-grade, secure versions of AI platforms where data sharing is explicitly opted out. Establish and enforce a clear internal AI policy. When a buyer conducts due diligence, presenting this comprehensive, proactive AI registry proves that your automated operations are a secure, structured, and compliant asset rather than a chaotic liability. It demonstrates high operational maturity, protects your enterprise value, and assures buyers that your technology stack is fully ready for a smooth transition.