{"id":245184,"date":"2026-05-13T09:46:00","date_gmt":"2026-05-13T13:46:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/05\/13\/microsofts-mdash-ai-system-finds-16-windows-flaws-fixed-in-patch-tuesday\/"},"modified":"2026-05-13T11:35:08","modified_gmt":"2026-05-13T15:35:08","slug":"microsofts-mdash-ai-system-finds-16-windows-flaws-fixed-in-patch-tuesday","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/05\/13\/microsofts-mdash-ai-system-finds-16-windows-flaws-fixed-in-patch-tuesday\/","title":{"rendered":"Microsoft&#8217;s MDASH AI System Finds 16 Windows Flaws Fixed in Patch Tuesday"},"content":{"rendered":"<p><a href=\"https:\/\/thehackernews.com\/2026\/05\/microsofts-mdash-ai-system-finds-16.html\">Microsoft&#8217;s MDASH AI System Finds 16 Windows Flaws Fixed in Patch Tuesday<\/a><\/p>\n<p><a href=\"https:\/\/thehackernews.com\/2026\/05\/microsofts-mdash-ai-system-finds-16.html\">https:\/\/thehackernews.com\/2026\/05\/microsofts-mdash-ai-system-finds-16.html<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-05-13 09:46:00<\/a><\/p>\n<p>Source Domain: <a href=\"thehackernews.com\">thehackernews.com<\/a><\/p>\n<p><span class=\"p-author\">\ue804<span class=\"author\">Ravie Lakshmanan<\/span>\ue802<span class=\"author\">May 13, 2026<\/span><\/span><span class=\"p-tags\">Vulnerability \/ Artificial Intelligence<\/span><\/p>\n<p>Microsoft has unveiled a new multi-model artificial intelligence (AI)-driven system called <strong>MDASH<\/strong> to facilitate vulnerability discovery and remediation at scale, adding that it&#8217;s being tested by some customers as part of a limited private preview.<\/p>\n<p>MDASH, short for <strong>m<\/strong>ulti-mo<strong>d<\/strong>el <strong>a<\/strong>gentic <strong>s<\/strong>canning <strong>h<\/strong>arness, is designed as a model-agnostic system that uses bespoke AI agents for different vulnerability classes to autonomously discover, validate, and prove exploitable defects in complex codebases like Windows.<\/p>\n<p>&#8220;Unlike single-model approaches, the harness orchestrates more than 100 specialized AI agents across an ensemble of frontier and distilled models to discover, debate, and prove exploitable bugs end-to-end,&#8221; Taesoo Kim, vice president of agentic security at Microsoft, said.<\/p>\n<p>MDASH is envisioned as a &#8220;structured pipeline&#8221; that ingests a codebase and produces validated, proven findings through a series of actions.<\/p>\n<p>It starts with analyzing the source code to build a threat model and attack surface, running specialized &#8220;auditor&#8221; agents over candidate code paths to flag potential issues, running a second set of &#8220;debater&#8221; agents that validate the findings, grouping semantically equivalent findings, and then finally proving the existence of the vulnerabilities.<\/p>\n<p>The system is powered by a configurable panel of models, with state-of-the-art (SOTA) models used for reasoning, distilled models for validation for high-volume passes, and a second separate SOTA model for independent counterpoint.<\/p>\n<p>&#8220;Disagreement between models is itself a signal: when an auditor flags something as suspect and the debater can&#8217;t refute it, that finding\u2019s posterior credibility goes up,&#8221; Microsoft explained. &#8220;An auditor does not reason like a debater, which does not reason like a prover. Each pipeline stage has its own role, prompt regime, tools, and stop criteria.&#8221;<\/p>\n<p>Redmond noted that the specialized agents have been constructed&#8230;<\/p>\n<p><a href=\"https:\/\/thehackernews.com\/2026\/05\/microsofts-mdash-ai-system-finds-16.html\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft&#8217;s MDASH AI System Finds 16 Windows Flaws Fixed in Patch Tuesday https:\/\/thehackernews.com\/2026\/05\/microsofts-mdash-ai-system-finds-16.html Publish Date:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":245187,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/blogger.googleusercontent.com\/img\/b\/R29vZ2xl\/AVvXsEg1Iq16GS3jdGiIU24GHBkwg6unk05ctdgYwXO5df8zRu1qko95_XhszCjq6jlEIRozLsrtZHgi5GqDZnS1Sw_KDzUzsagwP0If3VswmYHsnuYwVseU2lapxQiPpItTdAiv-CCdTFR87ZVOu65buyvmvzmdWuJPKHuPA4DSo58HQIMAV__2ymsmRe2g3UVe\/s1600\/windows-ai.jpg","fifu_image_alt":"","footnotes":""},"categories":[15],"tags":[26,20,27],"class_list":["post-245184","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cybersecurity","tag-ai","tag-artificial-intelligence","tag-vulnerability"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/245184"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=245184"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/245184\/revisions"}],"predecessor-version":[{"id":245188,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/245184\/revisions\/245188"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/245187"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=245184"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=245184"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=245184"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}