THE article discusses recent findings from the Open Worldwide Application Security Project (OWASP) regarding security risks associated with large language models (LLMs). The top security threat identified is prompt injection, with OWASP's latest report ranking it first despite a low incidence count. The analysis indicates that although few incidents occur, they remain a significant concern for developers and security professionals.
Another notable risk is sensitive information disclosure, ranked second, which happens when confidential data is inadvertently exposed. Excessive agency and misinformation are also highlighted as emerging threats, showcasing the growing complexities and challenges faced in securing LLM applications. OWASP provides various mitigation strategies for addressing these risks.