LATIDIA · Ciberseguridad

Polar: Síntesis basada en LLM de evidencia cibernética del mundo real para la priorización y mitigación.

arXiv: 2610.07298v1Tipo de anuncio: nuevo Resumen: El análisis de amenazas cibernéticas depende cada vez más de la evidencia distribuida a través de avisos de proveedores, bases de datos de vulnerabilidades y fuentes de inteligencia de amenazas. Convirtiendo estos fragmentos

La noticia

arXiv:2610.07298v1 Announce Type: new Abstract: Cyber threat analysis increasingly depends on evidence distributed across vendor advisories, vulnerability databases, and threat intelligence sources. Turning these fragmented observations into timely decisions requires models to connect technical severity with evolving exploitation evidence and available defensive actions. We present POLAR, an LLM-powered framework for synthesizing real-world cyber evidence into threat-centric assessments for prioritization and mitigation. POLAR first disentangles overlapping incidents and grounds each threat in source-linked evidence. For prioritization, it infers severity metrics from cyber evidence and combines the resulting assessment with temporally ordered exploitation signals to estimate near-term exploitation likelihood. For mitigation, it links the synthesized threat data to authoritative remediation knowledge and