Generative AI: A Game-Changer in the Security Industry
Recently, founders of leading security startups provided insights into the transformative potential of generative AI in the tech sector. The discussion, featured on the AI + a16z podcast, included perspectives from Dean De Beer of Command Zero, Kevin Tian from Doppel, and Travis McPeak of Resourcely.
Building with Large Language Models (LLMs)
The founders delved into their experiences in addressing threats posed by LLMs and harnessing their capabilities. They highlighted the intricacies involved in selecting and operating large language models, emphasizing the multitude of considerations that must be taken into account.
LLM Operation: An Intricate Process
De Beer drew parallels between operating a large language model and the perceived waiting time for an elevator. He elucidated that as the use case becomes more sophisticated and additional data is integrated, the inference time fluctuates. Despite potential delays in generating outcomes, the overall process remains significantly faster than manual execution of tasks.
Generative AI: A Double-Edged Sword
While generative AI offers manifold advantages, it also introduces a new array of challenges, particularly in mitigating threats stemming from LLMs. However, the founders stressed that comprehending these threats and devising strategies to address them are essential for harnessing the full potential of generative AI in the security sector.
