360 Unveils OpenClaw Security Guide to Counter AI Agent Prompt Injection Threats
On March 11, 360 Group released the first "OpenClaw Security Deployment and Practice Guide" in the country, offering a systematic security solution tailored to the rapidly growing open-source AI agent, OpenClaw.

As AI agents increasingly function as "digital avatars," their deep permission-calling mechanisms improve efficiency but also introduce greater security risks. According to 360 security experts, current deployments of agents like OpenClaw face typical threats including exposed management interfaces, credential leaks, underlying Shell privilege escalation, and prompt injection. In particular, prompt injection and plugin supply chain attacks have emerged as high-risk vectors that developers often overlook.
For different application scales, 360 proposed a classification governance strategy that prioritizes control before efficiency. For individual developers and small startups, the guide recommends using containerization to create isolated environments, applying the principle of least privilege, and encrypting key injections to mitigate risks. In government and enterprise multi-agent collaboration scenarios, it introduces a zero-trust-based security architecture that controls traffic through a secure gateway, combined with RBAC fine-grained access control and behavioral baseline analysis to intercept abnormal commands in real time.
As AI Agents accelerate commercial adoption, this guide marks a shift in industry focus from pure functional development toward comprehensive security compliance governance, laying the technical groundwork for a more resilient AI application ecosystem.
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On March 11, 360 Group released the first "OpenClaw Security Deployment and Practice Guide" in the country, offering a systematic security solution tailored to the rapidly growing open-source AI agent, OpenClaw.

As AI agents increasingly function as "digital avatars," their deep permission-calling mechanisms improve efficiency but also introduce greater security risks. According to 360 security experts, current deployments of agents like OpenClaw face typical threats including exposed management interfaces, credential leaks, underlying Shell privilege escalation, and prompt injection. In particular, prompt injection and plugin supply chain attacks have emerged as high-risk vectors that developers often overlook.
For different application scales, 360 proposed a classification governance strategy that prioritizes control before efficiency. For individual developers and small startups, the guide recommends using containerization to create isolated environments, applying the principle of least privilege, and encrypting key injections to mitigate risks. In government and enterprise multi-agent collaboration scenarios, it introduces a zero-trust-based security architecture that controls traffic through a secure gateway, combined with RBAC fine-grained access control and behavioral baseline analysis to intercept abnormal commands in real time.
As AI Agents accelerate commercial adoption, this guide marks a shift in industry focus from pure functional development toward comprehensive security compliance governance, laying the technical groundwork for a more resilient AI application ecosystem.
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