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Defense at AI speed: Microsoft’s new multi-model agentic security system tops leading industry benchmark

ID: fca4e13f-fd2e-5d4a-8c53-c3cf4cfa5c53

STIX ID: report--fca4e13f-fd2e-5d4a-8c53-c3cf4cfa5c53

Feed Name: Microsoft Security

Threat Score
70/100

Date Published: 2026-05-12

Date Updated: 2026-05-13

Author: Taesoo Kim

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Microsoft describes MDASH, a multi-model, agentic AI scanning harness that found and validated 16 Windows vulnerabilities (including several critical remote code execution issues) across tcpip.sys, ikeext.dll, netlogon.dll, dnsapi.dll and others; the post explains MDASH’s prepare/scan/validate/dedup/prove pipeline, provides benchmark results (100%/96% recall on historical MSRC cases for tcpip.sys/clfs.sys and 88.45% on the CyberGym benchmark), and gives technical deep dives into two notable CVEs demonstrating cross-file and concurrency exploitation paths.

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