Security Cube: A Unified Framework for Evaluating LLM Jailbreak Robustness

A new arXiv preprint (2605.05058) introduces Security Cube, a multi-dimensional framework for evaluating jailbreak attacks and defenses in large language models (LLMs). The paper argues that current evaluation practices are inadequate, relying on narrow metrics like attack success rate. It provides a systematic taxonomy of attacks and defenses, along with detailed comparison tables, to address the multidimensional nature of LLM security. The work highlights open challenges in the field and aims to improve safety, trust, and regulatory compliance in high-stakes applications.