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微软推出 AI 恶意软件检测智能体 Project Ire，精确度高达 98%
IT之家 8 月 6 日消息，当地时间周二，微软宣布推出可自主分析恶意软件的 AI 检测系统原型 ——Project Ire。 该项目由微软研究院、Defender 研究团队及 Discovery & Quantum 部门联合开发，整合了安全专业知识 ...
首次实现无人工干预：微软推出 AI 恶意软件检测智能体 Project Ire ...
Project Ire 首次实现无需人工干预即可完成软件逆向工程与恶意判断分类，在 Windows 测试中展现出 98% 精确度，标志着网络安全检测技术的突破性进展。 Project Ire 基于 GraphRAG 与 Microsoft ...
腾讯网4 小时
微软AI安全智能体恶意软件漏检率达74%
A：在约4000个文件的真实测试中，Project Ire标记为恶意的文件中有89%确实是恶意的，准确率较高。但是该智能体仅检测出了26%的恶意软件，存在74%的漏检率，整体性能一般。
至顶头条 on MSN7 小时
微软发布Project Ire智能体，可大规模自动识别恶意软件
微软推出名为Project Ire的人工智能代理，能够大规模自动分析和分类恶意软件。该AI模型可对可疑软件文件进行逆向工程，使用反编译器等取证工具分析代码以判断文件安全性。在公共数据集测试中，准确率达98%，召回率为83%。在涉及4000个"高难度目标"文件的实际测试中，准确率为89%，误报率仅4%。Project Ire将集成到Defender平台中，用于威胁检测和软件分类。
Project Ire: Microsoft Tests AI That Autonomously Detects Malware
Project Ire is Microsoft's autonomous AI that reverse engineers software to detect malware without prior knowledge or human ...
Microsoft unveils Project Ire, an autonomous AI agent that identifies malware at scale
“It was the first reverse engineer at Microsoft, human or machine, to author a conviction case — a detection strong enough to ...
The Hacker News19 小时
Microsoft Launches Project Ire to Autonomously Classify Malware Using AI Tools
Microsoft unveils AI system Project Ire to automate malware detection, reducing analyst workload and boosting accuracy.
SecurityWeek1 天
Microsoft’s Project Ire Autonomously Reverse Engineers Software to Find Malware
Microsoft has unveiled Project Ire, a prototype autonomous AI agent that can analyze any software file to determine if it’s ...
Microsoft's new AI security tool can spot malware early - and even reverse engineer it to ...
Microsoft has introduced a new AI tool it says has the ability to meet the “gold standard” of malware detection, identification, and classification. While still only a working prototype, Project Ire ...