CSEBenchmark introduces a novel approach to evaluating large language models for cybersecurity applications, addressing critical knowledge gaps in existing assessment methods.

Key Findings:

• Framework based on 345 knowledge points expected of cybersecurity experts
• Evaluates 12 different LLMs specifically for cybersecurity capabilities
• Identifies specific cybersecurity knowledge limitations in current models
• Offers a cognitive science-based approach to security expertise assessment

This research matters because it provides security professionals with a reliable method to select appropriate LLMs for cybersecurity tasks, ensuring AI systems have the necessary expertise before deployment in critical security contexts.

The Digital Cybersecurity Expert: How Far Have We Come?