Microsoft CEO Satya Nadella speaks at the Microsoft AI Tour at TikTok Entertainment Centre in Sydney on April 23, 2026.
Microsoft on Monday talked up a new artificial intelligence model for spotting cybersecurity vulnerabilities. The move marks the company's first major push to rejuvenate its cybersecurity business since it brought back Google executive Hayete Gallot to run the unit.
When paired with OpenAI's general-purpose GPT-5.4, Microsoft's MAI-Cyber-1-Flash outperforms Anthropic's Mythos 5, Google's 3.5 Flash Cyber and OpenAI's GPT-5.5 Cyber on the CyberGym benchmark, the company said.
"We have world-leading performance at 50% of the cost," Mustafa Suleyman, CEO of Microsoft AI, said at an event the company held in San Francisco.
The generative model is the software maker's first for cybersecurity. It will work in its Project Perception, a collection of AI agents for discovering and fixing weaknesses that becomes available in public preview starting Aug. 3, according to a blog post from Gallot.
She rejoined Microsoft in February to become executive vice president of security, as its top leader in the category, former Amazon cloud executive Charlie Bell, became an individual contributor.
Generative AI models have made it easier for attackers to quickly try to exploit newly documented vulnerabilities. Anthropic and OpenAI have released models that can help cybersecurity practitioners with defense.
So far in 2026, Microsoft shares have come down 19%. "Given that consensus view that open-source (Chinese and other) AI models are poised to take share from the frontier labs, investor sentiment about Microsoft's high OpenAI exposure has swung back to being perceived as a risk," Microsoft analysts led by Karl Keirstead wrote in a Sunday note to clients. Keirstead recommends buying the stock.
This year the company has announced its own model that can generate code in the GitHub Copilot tool, and lately it's been drawing on a first-party model in the Excel spreadsheet program. While Microsoft CEO Satya Nadella has a partnership with OpenAI to maintain, but he's also been allocating computing power to train models in house, with an eye toward spending efficiency.
"By combining specialized models and data with the right agents, tools, security context, and harness, we can advance the frontier of cost to outcome," Nadella wrote in a Monday X post.
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