According to ChainCatcher, with the rapid development of AI agents in the Web3 ecosystem, their potential security risks are becoming increasingly prominent. To help users more intuitively identify and manage these risks, GoPlus has officially launched the AgentGuard security inspection function. This function supports one-click scanning, providing clear security scores and visual reports for AI agents, helping users quickly understand the overall security status.
For users dealing with digital assets, conducting security checks before execution is crucial to effectively reduce potential risks caused by misconfiguration or abuse of permissions. At the overview layer, users can easily view multi-dimensional security assessments, including skills and code security, keys and sensitive data, network and system configuration, and runtime protection. At the analysis layer, specific risks can be further identified, such as exposed API keys, abnormal environment configurations, and permission and runtime issues, and corresponding security hardening recommendations can be obtained. GoPlus is committed to providing AI Agents with end-to-end security capabilities covering both pre- and runtime processes, from risk detection to real-time protection, helping developers and users comprehensively identify and prevent potential risks.
