LLM-Based Intelligent Agents for Cybersecurity: A Tutorial and Survey of Automated Vulnerability Discovery
This paper provides a tutorial and survey of LLM-based agents for automated vulnerability discovery and penetration testing. The rapid advancements in Large Language Models (LLMs) have opened new possibilities for their application in cybersecurity. Unlike traditional tools, LLMs can process natural...
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| Główni autorzy: | , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
IEEE
2026-01-01
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| Seria: | IEEE Access |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/11580353/ |
| Etykiety: |
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