<ul><li>Large Language Models (LLMs) are unreliable for Cyber Threat Intelligence (CTI) tasks.</li><li>An evaluation methodology was presented to test LLMs on CTI tasks using zero-shot learning, few-shot learning, and fine-tuning.</li><li>Experiments with three state-of-the-art LLMs and a dataset of 350 threat intelligence reports revealed potential security risks in relying on LLMs for CTI.</li><li>LLMs showed insufficient performance on real-size reports, inconsistency, and overconfidence despite the use of few-shot learning and fine-tuning.</li></ul>

Large Language Models are Unreliable for Cyber Threat Intelligence

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