This podcast episode delves into the intricate security landscape surrounding Large Language Models (LLMs), featuring insights from Donato Capitella, who emphasizes that rather than simply asking if LLMs are secure, we should focus on how securely they are implemented in specific applications. He underscores the importance of threat modeling, output validation, and input checks to mitigate risks, while also exploring the challenges and potential of autonomous agents powered by LLMs. As we navigate the ongoing arms race between jailbreakers and aligners, Capitella articulates a future where ethical hacking plays a pivotal role in enhancing security and ensuring that LLM technology brings transformative, yet safe, advancements to society.
