📄 中文摘要
在生产环境中，AI 代理可能会出现意外情况，导致严重后果。例如，某个代理在没有验证的情况下，错误地调用了一个不存在的参数，导致数据库中大量客户记录被删除。这样的事件并非个例，许多公司在使用大型语言模型（LLM）驱动的代理时，遭遇了类似的安全问题。为了防止此类灾难，建立一个有效的防火墙或气闸机制显得尤为重要，以确保 AI 代理的操作在安全的范围内进行，保护企业的数据安全和客户隐私。
为什么你的 AI 代理需要防火墙：构建代理气闸
出处: Why Your AI Agents Need a Firewall: Building agent-airlock
发布: 2026年2月14日
📄 English Summary
Why Your AI Agents Need a Firewall: Building agent-airlock
AI agents in production can encounter unexpected situations that lead to severe consequences. For instance, an agent may erroneously invoke a non-existent parameter without validation, resulting in the deletion of thousands of customer records from the database. Such incidents are not isolated; many companies have faced similar security issues while using LLM-powered agents. To prevent these disasters, implementing an effective firewall or airlock mechanism is crucial to ensure that AI agents operate within a secure framework, safeguarding company data and customer privacy.