Most AI governance programs start and stop at the model inventory. But across 3,000+ enterprise accounts and 1.39 million repositories, models are only a portion of the real AI footprint. The rest lives in the tools, datasets, frameworks, and agentic infrastructure most programs never see.
You’ll learn how to:
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Map your full AI footprint beyond models, including the tools, packages, datasets, and frameworks that make up the risk surface.
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Assess your exposure to agentic architectures, now running in 33% of enterprises and increasingly deployed full-stack.
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Prioritize the governance gaps that matter most, from untraceable data lineage to frontier-adjacent models already in production.