Large language models (LLMs) like ChatGPT have become our go-to assistants for everything from writing emails to answering complex questions. But as we increasingly rely on these digital helpers, a critical question arises: how secure are they, and can they protect our sensitive information? Researchers from Ben-Gurion University delved into this very question, putting popular LLMs through a rigorous information security awareness (ISA) test. They crafted 30 real-world scenarios designed to assess how LLMs respond to subtle security risks, not just blatant threats. The results revealed a surprising range of security awareness among different models. Some LLMs, when presented with a tricky situation, inadvertently guided users towards risky behaviors, like disabling critical security notifications or connecting to unsecured networks. This highlights the danger of blindly trusting LLMs with security-related queries, especially for less tech-savvy users. The research didn't just expose vulnerabilities; it also explored solutions. A simple tweak—adding a security-focused instruction to the LLM's system prompt—boosted the models’ ISA significantly. This emphasizes the importance of carefully crafting prompts and building in safety measures from the ground up. The researchers also discovered that simply having access to security information isn't enough. LLMs need to understand *when* to apply that knowledge and identify hidden security risks within everyday user questions. This study provides a crucial benchmark for LLM security, revealing both strengths and weaknesses. It's a wake-up call for developers and users alike, emphasizing the need for ongoing research and development to make LLMs truly secure and trustworthy partners in our digital lives. As LLMs evolve, ensuring their information security awareness isn’t just an option—it's a necessity.