AI Supply Chain Security
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Understanding AI Supply Chains
Explore how AI's dependency on external models, datasets, and packages creates attack surfaces.
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Supply Chain Attack Vectors
Learn how trusted ML components can be turned into attack vectors.
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Securing the AI Supply Chain
Build SupplySecLab and learn to inspect models, audit dependencies, and govern LLM supply chains.
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Payload
TryTrainMe's production code review model is phoning home. Investigate the breach.
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Checkpoint
Four candidates. Three threats. Make the production call.
Topic Rewind Recap
Lock in what you learned with a recap. Earn points and keep your streak.
Explore how AI model artefacts and supply chains can be compromised and how to defend them.
This module focuses on the security of AI models from procurement through deployment. Learners investigate how supply chains are targeted (OWASP LLM03), how to detect tampered or untrusted artefacts at ingestion, and how embedded triggers, poisoned checkpoints, and compromised fine-tunes manifest in real-world scenarios. Two hands-on challenge rooms reinforce defensive skills in identifying and responding to malicious models.
What are modules?
A learning pathway is made up of modules, and a module is made of bite-sized rooms (think of a room like a mini security lab).
