This cheatsheet reveals the hidden AI supply chain already embedded within modern applications and highlights the risks of limited visibility. It explains that traditional inventory methods like SBOMs fail to capture AI-native components such as models, datasets, agents, and prompt frameworks. The guide outlines why this gap exists, including rapid AI adoption, shadow AI from developer experimentation, and evolving system behavior outside formal deployment paths. It emphasizes the need for continuous AI discovery, visibility into developer workflows, and audit-ready inventories to support governance. By focusing on AI within code and supply chains, organizations can shift from reactive risk management to proactive control of AI infrastructure and data security.

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