Can LLMs be used to plan attacks in a computer network?

What is it about?

The paper suggests a new way to use LLMs in cybersecurity, where they act like attackers in two different environments. The results show that these LLM attackers perform as well as, or even better than, other advanced agents trained for a longer time. Interestingly, the best LLM agents perform similarly to human testers without extra training. This shows that LLMs could be useful for making tough decisions in cybersecurity. Also, the paper introduces a new cybersecurity game called NetSecGame. It's made to handle complex situations where multiple agents are involved. This game copies real network attacks and is built to be easily adapted to fit different situations.

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Photo by Arget on Unsplash

Photo by Arget on Unsplash

Why is it important?

The paper is the first to show that LLMs can be used to automate network attacks. Despite their limitations, pre-trained language models contain enough information to plan attacks using prompt engineering.