New benchmark tests LLMs on cyber threat intelligence

Researchers have introduced CTIConnect, a new benchmark designed to evaluate retrieval-augmented Large Language Models (LLMs) specifically for Cyber Threat Intelligence (CTI) tasks. This benchmark integrates diverse CTI data sources, including structured databases and unstructured reports, to create a realistic testing environment. Experiments with ten state-of-the-art LLMs demonstrate that performance varies significantly across different task types, highlighting the need for specialized retrieval strategies rather than general improvements. AI

IMPACT Provides a standardized evaluation framework to drive progress in applying LLMs to cybersecurity threat analysis.

RANK_REASON The cluster contains a research paper introducing a new benchmark for evaluating LLMs in a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• CTIConnect
• Cyber Threat Intelligence
• LLMs
• Yutong Cheng

• paper
• safety

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