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Today's episode introduces the landscape of securing AI, beginning with how AI is utilized in cybersecurity and the increasing accessibility of AI infrastructure through major cloud providers. It outlines common applications of generative AI and large language models across various industries. The core of the discussion then shifts to the potential threats within the AI infrastructure itself, breaking down vulnerabilities across components like core infrastructure, AI models, data, plugins, and AI agents. The episode details specific attack vectors for each of these areas, emphasizing the expanded attack surface presented by interconnected AI systems. Drawing upon resources like OWASP and vendor documentation, the podcast provides an overview of emerging security concerns in the rapidly evolving field of AI. The episode concludes by outlining the intention to further explore these threats and potential solutions in future discussions with industry experts.

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