OWASP Top 10 Risk & Mitigations for LLMs and Gen AI Apps 2025

This article outlines the OWASP Top 10 risks for LLMs (2025), describing ten LLM-specific vulnerability categories—prompt injection, sensitive information disclosure, supply chain risks, data/model poisoning, improper output handling, excessive agency, system prompt leakage, vector/embedding weaknesses, misinformation, and unbounded consumption—and provides practical prevention and mitigation strategies for each. It emphasizes secure design, access controls, data validation, monitoring, adversarial testing, and human-in-the-loop controls, while noting the evolving threat landscape for generative AI and urging organizations to align AI security practices with these recommendations.