Microsoft Introduces MDASH for Large-Scale AI Vulnerability Research

Microsoft Introduces MDASH for Large-Scale AI Vulnerability Research

By Robert Krzaczyński
Publication Date: 2026-05-25 16:30:00

Microsoft has introduced a new AI-driven vulnerability discovery system called MDASH, a multi-model agentic security platform designed to automate large-scale code auditing across Windows and other Microsoft software environments. The system combines more than 100 specialized AI agents that work together to scan, validate, debate, and prove vulnerabilities across complex codebases.

The announcement indicates a transition in AI-assisted cybersecurity from individual model testing to more integrated systems that focus on coordinated agents, validation processes, and automated proof generation. Microsoft emphasizes that the overall framework surrounding the models is more significant than any single model, particularly for extensive proprietary codebases like Windows, Hyper-V, and Azure.

According to Microsoft, MDASH achieved an 88.45% score on the public CyberGym benchmark of 1,507 real-world vulnerabilities, outperforming the next highest entry by roughly five points….