LATIDIA · Ciberseguridad

Marco de ciberseguridad de Agentic AI

arXiv:2609.27856v1 Anuncio Tipo: nuevo Resumen: La creciente escala, complejidad y dinamismo de las amenazas cibernéticas modernas han hecho que los mecanismos tradicionales de ciberseguridad reactiva resulten insuficientes. Este documento presenta un Ag

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arXiv:2609.27856v1 Announce Type: new Abstract: The increasing scale, complexity, and dynamism of modern cyber threats have rendered traditional reactive cybersecurity mechanisms insufficient. This paper introduces an Agentic AI Cybersecurity Framework (AACF) designed to enable autonomous, goal-driven, and adaptive cyber defense operations. Unlike conventional systems that rely on predefined rules and human intervention, the proposed framework leverages agentic artificial intelligence to perceive environmental states, reason about potential threats, and execute context-aware responses with minimal supervision. The framework is structured into key functional layers, including perception, reasoning, decisionmaking, action execution, and feedback-driven learning, enabling continuous adaptation to evolving attack patterns. By integrating intelligent agents with real-time data analysis and automated response mechanisms,