OWASP Top 10 2025 for LLM Applications: What’s new? Risks, and Mitigation Techniques

The OWASP Top 10 for LLM Applications 2025 outlines the ten most critical risks and vulnerabilities — along with mitigation strategies — for creating secure LLM applications. These guidelines cover the entire lifecycle: development, deployment, and monitoring. The list includes risks such as prompt injection, sensitive information disclosure, supply chain attacks, data poisoning, improper output handling, excessive autonomy, system prompt leakage, vector and embedding weaknesses, misinformation, and unbounded consumption. To mitigate these risks, developers can use strategies like constraining model behavior, validating expected output, integrating data sanitization techniques, robust input validation, robust output validation, limiting functionality and permissions, requiring user approval, implementing guardrails, tracking data origins, vetting data vendors, and more. The OWASP Top 10 LLM Risks for 2025 is a crucial guide to ensure the safety and security of Large Language Models.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.