OWASP Top 10 2025 for LLM Applications: What’s new? Risks . . . 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 It’s the result of a collaborative effort by developers, scientists, and security experts
OWASP Top 10 for LLMs in 2025: Risks Mitigations Strategies Let’s dive deep into the OWASP Top 10 for LLMs risks in 2025 and explore key security challenges and mitigation strategies: A Prompt Injection Vulnerability occurs when user inputs manipulate an LLM’s behavior or output in unintended ways, even if the inputs are invisible to humans
What are the OWASP Top 10 risks for LLMs? - Cloudflare Prompt injection is a tactic in which attackers manipulate the prompts used for an LLM Attackers might intend to steal sensitive information, affect decision-making processes guided by the LLM, or use the LLM in a social engineering scheme Attackers might manipulate prompts in two ways:
Executives Guide: The Top 6 Risks of LLMs - FairNow What are the primary risks associated with using Large Language Models (LLMs)? The primary risks of using LLMs include hallucinations (generating factually incorrect or fabricated content), bias, data privacy leakage, toxicity, copyright infringement, and new security vulnerabilities
LLM OWASP Top 10 Security Risks and How to Prevent Them This specialized Top 10 list highlights the most critical vulnerabilities for LLMs, offering insights into their associated risks and how they differ from conventional web or API security threats The list is for developers, data scientists, and security experts who work on or with LLM applications