With LLMs, data becomes code

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Generative AI (GenAI) operates fundamentally as an API, transforming how data is handled by merging the concepts of code and data. This evolution renders traditional security paradigms more crucial, as it complicates the once clear distinction between data and code. Sending input in natural languages like English or French now equates to sending code, presenting unique security challenges and necessitating new strategies for effective protection. While GenAI introduces vulnerabilities by being a potent and potentially dangerous API, it also holds the promise of addressing significant scalability issues in security, engineering, and development. This duality underscores the need to adapt security practices in response to these emerging technologies.

Dinis Cruz drops by to chat about cybersecurity for generative AI and large language models. In addition to discussing The Cyber Boardroom, Dinis also delves into cybersecurity efforts at OWASP and that organization’s Top 10 for LLMs and Generative AI Apps.

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