Addressing Gaps in Open-Source LLM Vulnerability Scanners

Overview The paper "Insights and Current Gaps in Open-Source LLM Vulnerability Scanners" critically examines the capabilities and shortcomings of various open-source vulnerability scanners for large language models (LLMs). As LLMs integrate into critical applications, ensuring their security becomes paramount. The article provides a comparative analysis and practical guidance for those involved in securing AI systems. [...]