Generative AI: A Game-Changer in the Security Industry
Founders of prominent security startups have recently shed light on the potential impact of generative AI in the tech industry. The discussion took place on the AI + a16z podcast, featuring insights from Dean De Beer of Command Zero, Kevin Tian from Doppel, and Travis McPeak of Resourcely.
Building with Large Language Models (LLMs)
The founders discussed their experiences in dealing with LLM-based threats and building with LLMs. They emphasized the complexity of the process and the multitude of considerations that come into play when choosing and operating a large language model.
LLM Operation: An Intricate Process
De Beer compared the operation of a large language model to perceived waiting time for an elevator. He explained that as the use case becomes more advanced and more data is attached, the inference time changes. Despite the fact that generating an outcome might take longer than the user would prefer, the overall process is still significantly faster than undertaking the task manually.
Generative AI: A Double-Edged Sword
While generative AI offers numerous benefits, it also presents a new set of challenges. These include dealing with threats based on LLMs. However, the founders emphasized that understanding these threats and learning how to manage them is key to leveraging the full potential of generative AI in the security industry.
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