BlockBeats News, February 6 — GoPlus Security has recently launched GoPlus AgentGuard, a native security skill designed for AI Agents, aimed at addressing execution-level security risks that emerge as AI Agents become more widespread.
As AI Agents begin to possess real execution capabilities (such as command execution, file reading and writing, service invocation, and on-chain transactions and signatures), the risks have escalated from “incorrect responses” to potential direct system damage, data leaks, or financial losses. Based on its extensive technical experience in Web3 on-chain security and transaction risk control, GoPlus has moved security measures upstream to occur before AI execution.
GoPlus AgentGuard employs a “runtime interception + on-demand deep scanning” mechanism to intercept, confirm, or allow high-risk actions, evaluating the risk of actions before the AI Agent executes. This is a dedicated execution-level security mechanism to prevent AI Agents from “misexecution, overreach, or dangerous execution,” allowing users to safely and confidently use OpenClaw. AgentGuard is now open source and available for AI builders and developers.
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GoPlus launches AgentGuard, allowing users to safely and confidently use OpenClaw upon access
BlockBeats News, February 6 — GoPlus Security has recently launched GoPlus AgentGuard, a native security skill designed for AI Agents, aimed at addressing execution-level security risks that emerge as AI Agents become more widespread.
As AI Agents begin to possess real execution capabilities (such as command execution, file reading and writing, service invocation, and on-chain transactions and signatures), the risks have escalated from “incorrect responses” to potential direct system damage, data leaks, or financial losses. Based on its extensive technical experience in Web3 on-chain security and transaction risk control, GoPlus has moved security measures upstream to occur before AI execution.
GoPlus AgentGuard employs a “runtime interception + on-demand deep scanning” mechanism to intercept, confirm, or allow high-risk actions, evaluating the risk of actions before the AI Agent executes. This is a dedicated execution-level security mechanism to prevent AI Agents from “misexecution, overreach, or dangerous execution,” allowing users to safely and confidently use OpenClaw. AgentGuard is now open source and available for AI builders and developers.