This paper is a research study about the potential risks of using large language models (LLMs) for AI agents. LLMs are computer programs that are really good at understanding and responding to human language. AI agents are computer programs designed to complete tasks for users. The researchers created a new system for identifying security, privacy, and ethical risks in AI agents that use LLMs. The paper explores six key features of these agents, including how they handle different types of input like text and images and how they interact with tools like web browsers. The paper emphasizes that LLM-based agents face serious threats, including data leakage, being tricked into doing bad things, and generating false information. The authors suggest ways to improve data security, create better evaluation methods, and establish policies to address these risks.