Agents in the Wild: Safety, Security, and Beyond

Dawn Song, Chenguang Wang, Nicholas Crispino, Ruoxi Jia, Kyle Montgomery, Yujin Potter, Vincent Siu, Zhun Wang

Keywords: agentic ai, agents, safety, security, trustworthiness, deployment

Abstract: AI agents are rapidly being deployed in critical real-world applications, yet their unique safety and security challenges remain underexplored. Unlike standard safety or security settings, agents act autonomously and make irreversible real-world decisions. This creates novel vulnerabilities and fundamental safety challenges for agents in real-world deployments. Our workshop provides the first dedicated venue for addressing the safety, security, and trustworthiness of agents in the wild. We bring together interdisciplinary researchers and practitioners to establish foundational theories and methods for safe agent deployment, identify critical open problems, and chart research directions for trustworthy agentic AI systems.

Submission Number: 104