OWASP's New LLM Top 10 Shows Emerging AI Threats

This commentary distills the OWASP Top 10 for LLM Applications, emphasizing risks such as prompt injection, sensitive information disclosure, supply chain vulnerabilities, and vector/embedding weaknesses in RAG that can enable data leakage, model poisoning, and inversion attacks; it urges organizations to enforce foundational developer risk controls (least privilege, input validation/sanitization), comprehensive threat modeling, and robust logging/monitoring, alongside strong security awareness to safely integrate AI-generated code and enterprise LLMs.