A significant transformation in software development is underway, with Gartner forecasting that 75% of enterprise software engineers will employ AI code assistants by 2028, up from less than 10% in early 2023, creating both competitive advantages and new security challenges. Traditional Software Composition Analysis (SCA) tools are limited in detecting risks from AI-generated code or copy-pasted snippets, leading to vulnerabilities such as viral licenses, hidden vulnerabilities, and broken audit trails. JFrog addresses these issues with its AI-Generated Code Validation, which employs semantic matching to analyze the logic and function of code beyond mere text matching. This solution integrates directly into developer workflows, blocking pull requests that violate security or license policies, thus ensuring proactive protection of intellectual property and compliance, real-time vulnerability prevention, and an enforced audit trail. The JFrog Platform aims to transform code provenance from a blind spot into a verifiable strength, offering a robust safeguard against potential threats in the software supply chain.