Polar: LLM-Powered Synthesis of Real-World Cyber Evidence for Prioritization and Mitigation
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...
| Authors | Luoxi Tang, Yuqiao Meng, Ankita Patra et al. |
|---|---|
| Primary category | cs.CR |
| Published | 5 October 2026 |
| Last updated at source | 5 October 2026 |
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