AI Supply Chain Security Best Practices Cheat Sheet
Download the Cheatsheet
Key Takeaways
- AI expands your attack surface fastModels, datasets, agents, prompts, and plugins introduce entirely new supply chain risks.
- Visibility is the foundation of AI securityYou can’t secure AI assets you can’t inventory, trace, or monitor.
- Traditional controls aren’t enough anymoreAI’s probabilistic behavior makes supply chain threats harder to detect and contain.
AI is transforming software development—but it’s also reshaping the software supply chain in ways most security programs aren’t prepared for.
This practical cheat sheet breaks down the biggest AI supply chain risks, how attackers exploit them, and the best practices security teams can use to reduce exposure across models, data, pipelines, and AI-powered tooling.
Inside, you’ll learn how to:
Build and maintain an AI bill of materials (AI-BOM)
Secure AI pipelines, models, and training environments
Detect risks in AI agents and orchestration workflows
Apply zero trust principles to AI infrastructure
Protect RAG systems, memory stores, and semantic search
Improve visibility across AI assets, identities, and integrations
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