10 AI Supply Chain Risks Hiding in Your Codebase, and How to Get Ahead of Them - Checkmarx

10 AI Supply Chain Risks Hiding in Your Codebase, and How to Get Ahead of Them

Your existing AppSec investments remain critical, but AI has fundamentally expanded your attack surface. Models, agents, prompts, MCP servers, and embeddings are now production dependencies, yet they’re invisible to traditional scanning, ungoverned by existing policies, and absent from compliance reporting.

This creates both immediate risk exposure and regulatory blind spots. With frameworks like the EU AI Act and ISO 42001 introducing new AI governance requirements, organizations need visibility and control over AI assets, not just traditional software components.

Grounded in OWASP LLM03:2025 and validated by Checkmarx Zero research, this e-book includes:

  • 10 critical AI supply chain risks from poisoned models and counterfeit packages to MCP tool poisoning and licensing violations, with real-world examples and practical mitigation strategies for each.
  • Four-stage AI supply chain maturity model to honestly assess your current AI security posture and prioritize next steps based on your organization’s readiness.
  • Intro to the AI-BOM framework extending traditional SBOMs to capture AI assets, meeting emerging compliance requirements and giving you complete supply chain visibility.
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