The field of AI-powered agents is rapidly evolving, with a growing focus on security and evaluation. Recent research has highlighted the importance of testing and reliability assurance for AI-powered browser extensions, as well as the need for comprehensive frameworks for evaluating agent behavior. Notable advancements include the development of novel testing frameworks, such as ASSURE, and the introduction of new evaluation benchmarks, like OpenAgentSafety.Furthermore, researchers have identified significant security vulnerabilities in AI-powered agents, including the potential for backdoor attacks and inter-agent trust exploitation. To address these concerns, there is a growing need for secure deployment paradigms and comprehensive vulnerability assessments.The development of new GUI agents and multimodal large language models has also led to significant advancements in areas like visual grounding and production-living simulations. However, these advancements also introduce new challenges, such as the need for more effective testing and evaluation frameworks.Papers like ASSURE and OpenAgentSafety are particularly noteworthy, as they provide innovative solutions to the challenges of testing and evaluating AI-powered agents. Additionally, papers like VisualTrap and StarDojo highlight the importance of considering security risks and evaluating agent behavior in complex, real-world environments.