In a groundbreaking development, a team of Carnegie Mellon University researchers has demonstrated that large language models (LLMs) are capable of autonomously planning and executing complex network attacks, shedding light on emerging capabilities of foundation models and their implications for cybersecurity research.
The project, led by Ph.D. candidate Brian SingerOpens in new window, a Ph.D. candidate in electrical and computer engineering (ECE)Opens in new window, explores how LLMs—when equipped with structured abstractions and integrated into a hierarchical system of agents—can function not merely as passive tools, but as active, autonomous red team agents capable of coordinating and executing multi-step cyberattacks without detailed human instruction.
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Source: Carnegie Mellon University
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