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Artificial intelligence startups are encountering roadblocks in enterprise security reviews. These hurdles stem from the use of questionnaires tailored for traditional SaaS and database systems, proving ill-suited for the distinct characteristics of AI. Security teams are reportedly posing questions like the physical location of AI or the antivirus software employed by the model, highlighting the disconnect between existing security frameworks and the unique architecture and risks inherent in AI. While standards like ISO 42001 offer guidance on crucial AI-related concerns, such as model bias, decision transparency, and training data governance, their adoption remains limited. This issue was recently highlighted in a Reddit post: https://old.reddit.com/r/artificial/comments/1n6sg61/every_ai_startup_is_failing_the_same_security/