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AI & Machine Learning · Advanced

AI Supply Chain Security

Protecting the integrity of models, datasets, libraries and services used to build AI systems.

Definition

Risks include tampered model files (such as malicious pickle deserialization), poisoned datasets, vulnerable dependencies and compromised plugins or MCP servers. Controls include trusted sources, safetensors, signature verification, scanning and an AI bill of materials.

Exam tip

Prefer safetensors over pickle-based model files to avoid arbitrary code execution on load.

Related terms