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What are the supply-chain risks in AI (models, data, dependencies), and how do you manage them?

Every third-party model, dataset, and library is an attack surface: backdoors, poisoning, arbitrary code on load, license landmines. The signal is treating models and data as supply-chain artifacts that need provenance and vetting. Here is the answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Every third-party model, dataset, and library is an attack surface: backdoors, poisoning, arbitrary code on load, license landmines. The signal is treating models and data as supply-chain artifacts that need provenance and vetting. Here is the answer.

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