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Articles by Tag: AI Bill of Materials

Use AIBOMs for the Gap Between Approved and Running AI

Use AIBOMs for the Gap Between Approved and Running AI

AI governance is becoming an evidence problem. CIOs need to prove that production AI systems still match the models, data, prompts, suppliers, and controls originally approved. Continuous AI Bills of Materials turn static inventory into a risk signal, helping leaders detect material change, route accountability, and avoid premature governance tooling.
AI Bill of Materials (AIBOM) - Strengthening AI Integrity and Transparency

AI Bill of Materials (AIBOM) - Strengthening AI Integrity and Transparency

The widespread adoption of Generative AI (GenAI) in applications offers substantial advantages but also introduces various threats because of the myriad components they comprise. To ensure the integrity of AI/ML systems, organizations should manage every component through an AI Bill of Materials (AIBOM) to inventory the data, models, and infrastructure used. Developers, data scientists, and security experts should advance their AI maturity by adopting AIBOMs to secure and optimize their AI systems.