LAB 368 – Defending Python AI Applications from Supply Chain Compromise (NEW)

Course Overview

Explore how compromised components in AI development pipelines, models, datasets, or dependencies can introduce risks. Learners will evaluate third-party software and implement secure supply chain practices.

After completing this lab, learners will have the knowledge and skill to:

• Identify insecure or compromised components in AI systems
• Implement SBOM and dependency tracking
• Enforce source verification and provenance validation
• Monitor third-party risks throughout the lifecycle