Supply Chain & Model Integrity

Modern AI systems depend on complex supply chains that include datasets, foundation models, open-source components, cloud services, APIs, and third-party providers. These dependencies introduce security, operational, and governance risks that can affect the trustworthiness of AI outcomes. Organizations must establish controls that verify model authenticity, protect against tampering, maintain traceability, and govern external dependencies throughout the AI lifecycle. In this lesson, learners will explore AI supply chain security, model integrity, provenance, artifact verification, dependency management, and governance practices that support trustworthy AI systems.