Brian Singer, a PhD candidate at Carnegie Mellon University, joins Robby to talk about his research on creating autonomous attackers and defenders for networks. In their conversation, they discuss how Brian and his team made a system that uses LLMs to autonomously attack networks.

Singer and his team recently got a lot of attention after using this system to successfully recreate the Equifax cyber-attack from 2017, one of the largest data breaches in U.S. history, in a virtualised cloud environment. In turn, showing how LLMs can be taught to plan and execute sophisticated cyberattacks without a human involved.

They also talk about how LLMs are unlocking new capabilities for defenders, where he is seeing a lot of opportunity, and how he thinks security will be developing the next three to five years. 

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