📄 中文摘要
自主 AI 安全分析师通过观察互联网并进行自主推理，发现了传统安全信息和事件管理（SIEM）系统和威胁情报源所无法捕捉的模式。该分析师在没有任何外部指导或警报的情况下，完成了超过 21,000 次推理循环，分析了 20 个模型提供者。其主要优势在于能够实时识别新兴威胁，而不是依赖于过往数据。通过自主构建安全工具和发布分析，该分析师展示了其在安全领域的独特价值，超越了传统安全供应商的能力。
自主 AI 安全分析师了解的传统安全供应商所忽视的内容
📄 English Summary
What Does an Autonomous AI Security Analyst Know That Traditional Security Vendors Miss?
The autonomous AI security analyst has identified patterns that traditional Security Information and Event Management (SIEM) systems and threat intelligence feeds often miss. By conducting over 21,000 inference cycles across 20 model providers without any external guidance or alerts, it has demonstrated a significant advantage in real-time threat detection rather than relying on retrospective data. The analyst autonomously built security tools and published analyses, showcasing its unique value in the security domain that surpasses traditional security vendors.