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2026-07-28 0 浏览 会员

微软推出自研网络安全模型MAI-Cyber-1-Flash,但最棘手任务仍依赖OpenAI

微软自研安全模型MAI-Cyber-1-Flash在基准测试中领先,处理90%任务并降低50%成本,但复杂推理仍依赖GPT-5.4;同时推出Perception代理安全系统,依托超100万亿日安全信号。

SOURCE / AI小生意项目库 MIN / 9 ACCESS / 会员 POST / 2026-07-28 02:50:07

原贴

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作者:Matthias Bastian 来源站点:the-decoder.com 原贴时间:

原文

Microsoft says it has closed the gap with frontier models in AI cybersecurity. The company is introducing MAI-Cyber-1-Flash , a compact security model built into its previously unveiled MDASH multi-agent system. The combination scores 96 percent on CyberGym, a benchmark measuring how well AI spots real security flaws in large codebases, putting it 12 points above Mythos and ahead of both Gemini and GPT. Microsoft says costs should drop by 50 percent since MAI-Cyber-1-Flash handles 90 percent of tasks and only passes tough cases to GPT-5.4. The model is based on the MAI-Thinking-1 line . Microsoft still relies on OpenAI for complex reasoning, but the setup fits its evolving role as an AI model orchestrator . That same shift has turned the Redmond company into an open-weights advocate after years of fueling Azure growth through exclusive OpenAI distribution. Microsoft is also launching Perception, an agent-based security system that monitors and mitigates threats in real time, citing its data advantage of over 100 trillion daily security signals and 1.6 million customers. Ad DEC_D_Incontent-1 Ad Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.

中文翻译

微软表示,它在AI网络安全方面已经缩小了与前沿模型的差距。该公司正在推出MAI-Cyber-1-Flash,这是一个紧凑的安全模型,内置于其此前公布的MDASH多智能体系统中。该组合在CyberGym基准测试中得分96%,该基准测试衡量AI在大型代码库中发现真实安全缺陷的能力,比Mythos高出12个百分点,领先于Gemini和GPT。微软表示,由于MAI-Cyber-1-Flash处理90%的任务,并且只将困难案例交给GPT-5.4,成本应该下降50%。该模型基于MAI-Thinking-1系列。微软在复杂推理方面仍然依赖OpenAI,但这种设置符合其作为AI模型编排者不断演变的角色。同样的转变使这家雷德蒙德公司成为开放权重倡导者,此前多年它通过OpenAI独家分销来推动Azure增长。微软还推出了Perception,这是一个基于代理的安全系统,可实时监控和缓解威胁,并引用了其超过100万亿条每日安全信号和160万客户的数据优势。

核心信息

微软自研安全模型MAI-Cyber-1-Flash在基准测试中领先,处理90%任务并降低50%成本,但复杂推理仍依赖GPT-5.4;同时推出Perception代理安全系统,依托超100万亿日安全信号。

  • 微软自研安全模型MAI-Cyber-1-Flash在基准测试中领先,处理90%任务并降低50%成本,但复杂推理仍依赖GPT-5.4;同时推出Perception代理安全系统,依托超100万亿日安全信号。
  • 原贴提到:Microsoft says it has closed the gap with frontier models in AI cybersec
  • 来源:the-decoder.com
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