{"id":61158,"date":"2026-07-27T19:50:27","date_gmt":"2026-07-27T19:50:27","guid":{"rendered":"https:\/\/www.theregister.com\/a\/5279140"},"modified":"2026-07-27T19:50:27","modified_gmt":"2026-07-27T19:50:27","slug":"microsofts-solution-to-ai-security-more-ai-and-more-acronyms","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/microsofts-solution-to-ai-security-more-ai-and-more-acronyms\/","title":{"rendered":"Microsoft’s solution to AI security: more AI and more acronyms"},"content":{"rendered":"
<\/div>\n
\n

Security<\/p>\n

MDASH stuffed with MAI-Cyber-1-Flash and a side of GPT-5.4<\/p>\n<\/p><\/div>\n

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AI agents can break through security, but they are also the solution to defending against an increasingly dangerous ecosystem of threats. On Monday, Microsoft announced a new security model that it says helped outperform several rival AI systems on a vulnerability benchmark while cutting costs by about half. <\/p>\n

Unsurprisingly, at Redmond\u2019s security event on Monday, execs touted the tech giant\u2019s AI security prowess and introduced a new agentic security system called Project Perception, and also unveiled its first security-specialized model, MAI-Cyber-1-Flash, designed for software vulnerability analysis.<\/p>\n

Microsoft packed MAI-Cyber-1-Flash, based on Microsoft AI (MAI)\u2019s internally developed MAI-Thinking-1<\/a> reasoning model, inside its MDASH bug-hunting harness<\/a>. Its execs claim the duo – with a GPT-5.4 boost – outperforms Anthropic\u2019s bug-hunting machine Mythos and OpenAI\u2019s powerful standalone models, and costs about half the price of other leading commercial models.<\/p>\n

CyberGym\u2019s benchmarking found<\/a> that MAI-Cyber-1-Flash, combined with GPT-5.4, both stuffed inside the MDASH harness, achieved a 95.95 percent success rate. For comparison, OpenAI\u2019s GPT-5.5 Cyber scored 85.6 percent and its GPT-5.6 Sol scored 83.6 percent, while Anthropic\u2019s Mythos 5 successfully handled real-world vulnerabilities 83.8 percent of the time. Google\u2019s Gemini 3.5 Flash Cyber in CodeMender achieved an 83.2 percent success rate.<\/p>\n

\u201cThis is really quite a remarkable result,\u201d Mustafa Suleyman, CEO of Microsoft AI, said during the Monday event. <\/p>\n

Within MDASH, MAI-Cyber-1-Flash handles up to 90 percent of all queries, detecting and patching the vulnerabilities while also confirming the fixes worked, and hands the remaining 10 percent of tasks off to the larger GPT-5.4, Suleyman explained.<\/p>\n

\u201cGPT 5.4, which is obviously a larger model, about 10X larger, solves those [queries],\u201d he said. \u201cAs the models hand off between each other, they are not just able to deliver better performance than all of the other models combined, they do so at 50 percent of the cost.\u201d<\/p>\n

In addition to the multi-model bug hunting system, Microsoft announced Project Perception<\/a>, which coordinates three types of agents: red team agents that find and simulate attack paths, blue team agents that investigate and determine risk, and green team agents that remediate the issues. <\/p>\n

\u201cWe need to make sure that the defenders can defend at the scale and the speed of the attackers,\u201d Hayete Gallot, executive vice president of Microsoft Security, said. \u201cYou need a new cyber stack. So we built it. This is what we call Perception.\u201d<\/p>\n

Aside from the new security products, Redmond introduced a new AI security research arm called Microsoft Security FORGE (Frontier Offensive Research and Generative Exploration) Labs, led by Microsoft VP of Security Research Taesoo Kim<\/a>, and an AI red team alliance.<\/p>\n

The latter, called the External Red Team Alliance (EXTRA)<\/a>, aims to expand AI safety research through a two-part initiative. <\/p>\n

First, Redmond\u2019s own AI red team provided “unrestricted gifts ” to 18 university labs across six continents to support AI safety research, Microsoft data cowboy and AI red team lead Ram Shankar Siva Kumar said in a blog.<\/p>\n

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MORE CONTEXT<\/h2>\n<\/p><\/div>\n<\/div>\n

\u201cThe funding is unrestricted because the objective is not to direct research outcomes toward product requirements or predefined deliverables,\u201d he wrote. \u201cSome universities are examining the cybersecurity implications of AI systems themselves – including how models can be attacked, manipulated, or abused in operational environments. Other labs are exploring the inverse problem: how AI systems can assist defenders and improve cyber operations.\u201d <\/p>\n

The second EXTRA component will build a distributed network of specialists to participate in red teaming across very specific areas. \u201cThat includes researchers, practitioners, and regional experts who understand specific attack classes, languages, cultural contexts, or technical domains that internal teams may not fully cover alone,\u201d he added. \u00ae<\/p>\n<\/p><\/div>\n

READ MORE HERE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

MDASH stuffed with MAI-Cyber-1-Flash and a side of GPT-5.4 READ MORE HERE…<\/p>\n","protected":false},"author":2,"featured_media":61159,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_layout":"default_layout","footnotes":""},"categories":[63],"tags":[307],"class_list":["post-61158","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-the-register","tag-security"],"yoast_head":"\nMicrosoft's solution to AI security: more AI and more acronyms 2026 | ThreatsHub Cybersecurity News<\/title>\n<meta name=\"description\" content=\"ThreatsHub Cybersecurity News | ThreatsHub.org | Cloud Security & Cyber Threats Analysis Hub. 100% Free OSINT Threat Intelligent and Cybersecurity News.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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