How Fortune 500s Audit AI Model Outputs

Fortune 500 procurement teams are moving past negotiating compute costs and vendor lock-in to solve a harder problem: verifying what AI models actually do inside production. This episode explores the emerging practice of output auditing, where companies require software vendors to provide cryptographic proofs of model behavior rather than trusting black-box promises. We look at how major enterprises are rewriting contracts to demand verifiable integrity for every inference, using specific examples from financial services and healthcare sectors. Lucas and Luna break down why traditional security audits fail for generative systems and how the new standard of continuous verification is reshaping large-account sales in enterprise technology.

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