This presentation will explore the practical risks associated with granting Large Language Models (LLMs) agency, enabling them to perform actions on behalf of users. We will delve into how attackers can exploit these capabilities in real-world scenarios. Specifically, the focus will be on an emerging use cases: autonomous browser and software engineering agents. The session will cover how LLM agents operate, the risks of indirect prompt injection, and strategies for mitigating these vulnerabilities.