Microsoft MDASH AI agents find 16 Windows vulnerabilities
microsoft deployed an autonomous system of over 100 ai agents called mdash, which discovered 16 new vulnerabilities in windows, four of them critical.
microsoft revealed the mdash (multi-model agentic scanning harness) system, designed to autonomously audit proprietary codebases like windows and azure that are absent from public training data. the system orchestrates more than 100 specialized agents across a five-stage pipeline, using 'debater' agents to contest vulnerability findings and 'evidence leaders' to generate proof-of-concept exploits. this process uncovered 16 new cves affecting the windows networking stack, with four rated critical due to unauthenticated remote code execution risks. mdash achieved a score of 88.45% on the cybergym benchmark, leading the leaderboard, though microsoft withheld details about the specific underlying models used.