LATIDIA · Ciberseguridad
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arXiv: 2611.13684v1Tipo de anuncio: nuevo Resumen: Los agentes de inteligencia artificial automatizan cada vez más las tareas de ciberseguridad, incluidas las operaciones ofensivas. Los ataques frecuentes a través de la web hacen que la detección de endpoints y la respuesta
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arXiv:2611.13684v1 Announce Type: new Abstract: Artificial intelligence agents increasingly automate cybersecurity tasks, including offensive operations. Frequent attacks across the web make endpoint detection and response (EDR) a critical defense, but whether AI agents can evade it remains unclear. Benchmarks evaluate the offensive capabilities of large language model (LLM) agents in areas such as penetration testing and vulnerability discovery. One important capability that these benchmarks do not address is defense evasion, specifically whether an agent can develop a program that executes a payload without being blocked or terminated by a deployed EDR. We introduce BypassGym, to our knowledge the first benchmark to systematically evaluate this capability on real endpoints. Given command-and-control