Model Supply Chain Mayhem: Securing the AI You Didn’t Build Yourself
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Model Supply Chain Mayhem: Securing the AI You Didn’t Build Yourself
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In this episode, we dig into what happens when your most important artificial intelligence (AI) capabilities come from models, copilots, and APIs you did not build yourself. Instead of debating algorithms, we follow the path leaders actually live with: opaque upstream providers, shifting model behavior, and sensitive data flowing through black boxes that now sit squarely in the middle of critical business processes. You will hear how model lineage, training data choices, and vendor change control quietly shape the risk your organization ends up owning.
We walk through the key sections of the Headline article: reframing accountability for external AI, mapping the real model supply chain behind “we just call an API,” examining concrete failure patterns, and turning vendor due diligence into questions about behavior rather than just infrastructure. From there, we explore how to wrap these external systems with your own guardrails, monitoring, and kill switches, and what a realistic operating model for AI supply chain risk looks like. This narration is based on Bare Metal Cyber Magazine’s Wednesday “Headline” feature, “Model Supply Chain Mayhem: Securing the AI You Didn’t Build Yourself.”