This guide explores emerging security risks associated with generative AI applications and outlines strategies for protecting AI infrastructure. It highlights three main areas attackers target: infrastructure, supply chains, and user interfaces. Infrastructure risks often stem from misconfigured cloud resources or exposed credentials, which attackers can exploit to gain initial access to AI systems. Supply chain attacks may involve compromised datasets, pre-trained models, or third-party libraries that introduce hidden vulnerabilities. Interface-level threats include prompt injection attacks and malicious inputs designed to manipulate AI behavior. The guide recommends continuous monitoring, credential management, and strong logging practices to detect suspicious activity early. By applying

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