As AI adoption accelerates, organizations are increasingly deploying generative AI models on public cloud platforms such as AWS, Microsoft Azure, and Google Cloud to take advantage of scalability, specialized computing resources, and managed AI services. Industry forecasts predict AI spending will reach hundreds of billions of dollars in the coming years, making AI a critical component of business operations. However, this rapid growth also expands the attack surface, creating new security challenges. Cybercriminals can exploit misconfigured AI infrastructure, manipulate AI models, gain unauthorized access to resources, or steal sensitive data. To address these risks, organizations must implement robust security controls that protect AI resources, data, and models throughout their lifecycl

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