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Updated: Jan 31, 2026
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Percepción del Algoritmo al Utilizar Inteligencia de Amenazas en la Evaluación de Riesgos de Vulnerabilidad
Sarah van Gerwen1, Aurora Papotti1, Katja Tuma2
1Informatica, Vrije Universiteit, Amsterdam, The Netherlands.
Resumen
Los participantes desconfiaban de las recomendaciones de inteligencia de amenazas cibernéticas impulsadas por IA. La experiencia en seguridad aumentó la confianza, pero el sesgo percibido se mantuvo similar para las fuentes humanas y de inteligencia artificial (IA).
Área de la Ciencia:
- Ciberseguridad; Inteligencia Artificial; Interacción Humano-Computadora
Sus antecedentes:
- Los sectores gubernamental y comercial están adoptando cada vez más la IA para el análisis de inteligencia de amenazas cibernéticas.
- Comprender el sesgo potencial de las fuentes humanas frente a las de IA es crucial antes del despliegue en producción de soluciones automatizadas.
Objetivo del estudio:
- Medir el sesgo introducido por la fuente de inteligencia de amenazas cibernéticas (humana vs. IA).
- Evaluar el impacto de la experiencia del participante (seguridad y aprendizaje automático) en el sesgo.
Principales métodos:
- Se realizó un experimento controlado con 57 estudiantes de maestría.
- Los participantes analizaron informes de inteligencia de amenazas cibernéticas con fuentes manipuladas (experto humano o algoritmo de IA).
- Se midió el sesgo percibido y el acuerdo con las recomendaciones.
Principales resultados:
- Los participantes tendieron a estar en desacuerdo con las recomendaciones generadas por IA.
- Una mayor experiencia en seguridad se correlacionó con un mayor acuerdo con las recomendaciones.
- El sesgo percibido fue estadísticamente equivalente si las recomendaciones provenían de fuentes humanas o de IA.
- El desacuerdo con una recomendación, independientemente de la fuente, fue el factor principal que influyó en el sesgo percibido.
Conclusiones:
- La introducción de la IA en la inteligencia de amenazas cibernéticas puede impactar a los analistas de SOC de Nivel 1.
- Se necesita más investigación con profesionales de seguridad experimentados para generalizar los hallazgos a la práctica profesional.
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