Researchers from various universities have proposed using pre-trained LLM agents as human penetration testers in cybersecurity. LLMs have shown promise in planning, open-world exploration, and decision-making. The researchers include Maria Rigaki, Ondrej Lukas, Carlos A. Catania, and Sebastian Garcia. LLMs can enhance network security by analyzing text and detecting social engineering attacks. Existing network security training environments lack consistency and detailed discussion, raising concerns about real-world applicability. NetSecGame is an innovative network security training ground with defined elements. However, LLMs have limitations such as hallucination and instability. Despite these limitations, cybersecurity researchers see potential in using LLMs for high-level cybersecurity planning.

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https://cybersecuritynews.com/intended-pre-trained-llm-agents/