A Deep Dive into Preventing GenAI Supply Chain Risks
GenAI systems rely on external models, open source components, and complex distribution pipelines that expand the attack surface beyond your direct control.
To win, your GenAI solutions must actively manage supply chain risk through dependency visibility, integrity verification, and provenance tracking.
GenAI supply chains introduce hidden risks that traditional security reviews often miss.
• Opaque dependencies: Teams lack a clear inventory of external models, libraries, and services embedded in GenAI solutions.
• Unverified components: Open source and third-party models are adopted without sufficient integrity or trust validation.
• Weak provenance tracking: Model origins, transfers, and usage licenses are poorly documented or unenforced.
These gaps increase exposure to tampering, license violations, and downstream security incidents.
In this hands-on workshop, your team evaluates and strengthens GenAI supply chain security through guided analysis and applied exercises.
• Identify and document GenAI supply chain dependencies across models, libraries, and services.
• Evaluate security and operational risks in external model libraries.
• Design secure model hosting and transfer pipelines to reduce tampering risk.
• Verify the integrity of open source components used in GenAI systems.
• Establish practices for tracking model provenance and usage licenses.
Identifying Supply Chain Dependencies
Evaluating Risks in External Model Libraries
Securing Model Hosting and Transfer Pipelines
Verifying Open Source Component Integrity
Tracking Model Provenance and Usage Licenses
• Gain visibility into the full supply chain supporting GenAI solutions.
• Assess and prioritize risks introduced by external models and dependencies.
• Apply integrity checks to open source and third-party components.
• Secure model distribution and hosting pipelines against tampering.
• Leave with clear provenance and licensing tracking practices for GenAI assets.
Who Should Attend:
Solution Essentials
Virtual or in-person
4 hours
Intermediate
Dependency mapping techniques, integrity validation concepts, and guided risk assessment exercises