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Microsoft on Monday launched its first cybersecurity-specialized model alongside a new AI cybersecurity platform at a small event in San Francisco, taking a big swipe at major players in the space \u2014 namely Anthropic, Google and OpenAI.<\/p>\n
The company describes MAI-Cyber-1-Flash<\/a> as a model that\u2019s built \u201cto find challenging vulnerabilities in complex codebases.\u201d The model is built to animate MDASH, Microsoft\u2019s harness dedicated to software vulnerability identification and remediation.<\/p>\n The new security platform is dubbed Perception, and it\u2019s designed to deploy teams of agents<\/a> to assist with and automate various security workflows, including identifying and remediating bugs. The platform can also integrate with MDASH.<\/p>\n The company claims MAI-Cyber-1-Flash is significantly more powerful (and more cost-effective) than competitor models, based on its performance on an established AI cybersecurity benchmark. <\/p>\n \u201cWe\u2019re very very excited to announce our results,\u201d said Mustafa Suleyman, the co-founder of DeepMind and current CEO of Microsoft AI. \u201cWe have MAI-1 Cyber Flash binded [sic] with GPT 5.4 inside of the MDASH harness\u00a0\u2014 which beats out Gemini, GPT 5.5 Cyber, GPT 5.6 Sol, and Mythos 5 on Cyber Gym, which is the primary benchmark that we all use. The golden benchmark.\u201d<\/p>\n \u201cWe\u2019re shipping this into production immediately,\u201d he added.<\/p>\n Noting that hackers are increasingly using AI in their cyberattacks, Hayete Gallot, Microsoft\u2019s vice president for security, described Perception as a way for enterprise defenders to \u201cdefend against AI with AI at the scale and speed that the attackers have.\u201d<\/p>\n Perception uses agentic red teams, blue teams, and green teams. The red teams can provide detailed simulations of potential attacks \u2014 providing context about potential threat actors and the likely vulnerabilities that they might exploit. Blue teams are dedicated to detecting and triaging existing bugs, while green teams take \u201ccorrective actions\u201d against those bugs.<\/p>\n Dave Weston, the lead engineer for Perception, described the platform as a massive efficiency upgrade for corporate defenders. \u201cWe\u2019ve gone from this taking hours and hours of manual work from multiple specialized folks across the security organization \u2014 appsec hunters, remediation engineers, you name it \u2014 and in minutes, we have a fix for all of this. Not only do we discover the issues and prioritize them, but we have detection, posture fixing, and even a code fix.\u201d<\/p>\n Though AI has offered new defensive capabilities to companies, its availability to cybercriminals has given rise to a dazzling array of potential threats.<\/p>\n Microsoft\u2019s new security tools, which the company said will be available in preview on November 3, will enter an increasingly crowded field of AI cybersecurity solutions. Earlier this year, Anthropic launched Mythos<\/a>, a security platform that was released to a small coterie of partner organizations through a program called Glasswing. OpenAI has also launched<\/a> its own security solution in May through a program called Day Break.<\/p>\n<\/div>\n When you purchase through links in our articles, we may earn a small commission<\/a>. This doesn\u2019t affect our editorial independence.<\/em><\/p>\n