微软推出MAI-Cyber-1-Flash模型 集成MDASH网络安全平台

微软宣布推出MAI-Cyber-1-Flash模型，并将其集成到MDASH多智能体漏洞识别和修复平台中1。该系统在网络安全基准测试CyberGym上达到96%的性能，较Mythos提高12个百分点，并超越Gemini和GPT等竞品1。

在成本控制方面，新方案相比现有MDASH最优方案实现了50%的成本节省1。这一优势源于系统的智能设计——MDASH能够高效处理90%的任务，仅对最具挑战性的10%任务调用成本最高的模型1。MDASH平台包含由安全专家创建的100多个智能体，该模型已经过微软AI红队的严格评估和第三方独立评估1。

微软同时推出Perception智能安全系统，用于持续监控和修复威胁1。根据微软披露的数据，该公司每天观察到来自超过100万客户的超过100万亿个安全信号1。

Microsoft has announced the introduction of the MAI-Cyber-1-Flash model, integrated into MDASH, a multi-agent platform designed for vulnerability identification and remediation.1 The system achieves 96% performance on the CyberGym cybersecurity benchmark, surpassing competing models including Mythos, Gemini, and GPT while reducing costs by 50% compared to the current optimal configuration for MDASH.1

The architecture of the new system demonstrates efficiency through task stratification, handling 90% of tasks with more cost-effective models while reserving the highest-cost model exclusively for the most challenging 10% of tasks.1 MDASH comprises over 100 agents developed by security experts to identify and address threats.1 Microsoft also unveiled Perception, an intelligent security system designed for continuous threat monitoring and remediation.1

The deployment comes as Microsoft processes security signals at scale, observing over one million trillion security signals daily across more than one million customers.1 Both the MAI-Cyber-1-Flash model and the broader system architecture have undergone rigorous evaluation by Microsoft's AI red team as well as independent third-party assessment.1