Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence 事件

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence arXiv:2509.23573v4 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used to help security analysts manage the surge of cyber threats, automating tasks from vulnerability assessment to incident response. Yet in operational CTI workflows, reliability gaps remain substantial. Existing explanations often point to generic model issues (e.g., hallucination), but we argue the dominant bottleneck is