マイクロソフト、ミトスや GPT-5.6 に対抗する安価なサイバーモデルを発表

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With enterprise demand for lower-cost generative AI services spiking sharply, Microsoft introduced a cybersecurity model and platform it said costs half that of rival systems.

The cybersecurity initiative comes as Microsoft aims to resuscitate its AI approach after its Copilot AI system was met with lukewarm success by enterprises. It follows a series of recent agentic AI releases and a large-scale undertaking to build and operate AI data centers worldwide.

Microsoft also claimed that its MAI-Cyber-1-Flash model, released on Monday, outperformed Anthropic's Mythos, OpenAI's GPT-5.6 Sol and Google's Gemini 3.5 Flash Cyber on a widely used benchmark.

A Routing Model

The cybersecurity model, which routes security vulnerability identification requests to three AI models from OpenAI, is embedded in the vendor's MDASH multi-agent vulnerability identification and remediation platform, which it released in May.

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Alongside MAI-Cyber-1-Flash, Microsoft launched Project Perception, an agentic security platform that furnishes teams of agents for various security workflows in MDASH to monitor and patch security vulnerabilities. Microsoft said it will soon add MAI-Cyber-1-Flash to Perception for many more security workflows in addition to its initial software vulnerability identification application.

Microsoft's cybersecurity move comes in the wake of furor over Anthropic's Mythos model, which the Trump administration initially deemed a national security threat and forced it off the market. That model was subsumed under Anthropic's Project Glasswing, launched in April, which restricted Mythos to select organizations. OpenAI's main cyber model, GPT-5.6, followed a similar trajectory. Although the government did not clamp down on it, in May, OpenAI made it part of Project Daybreak, which is similarly restricted to approved users.

"Obviously, this is 'remains to be seen' territory. But I think the key here is that it's available to everybody, as opposed to Mythos [and GPT 5.6], which is not," said David Nicholson, an analyst at The Futurum Group. "And it's going to cost you a lot less because it's intelligently routing the consumption of tokens to appropriate models."

MAI-Cyber-1-Flash is currently built on OpenAI's GPT-5.4, GPT-5.4 and GPT-5.3-Codex -- all of which provide cybersecurity capabilities in addition to generative AI features such as reasoning, coding and agentic workflows.

In essence, Nicholson said, MAI-Cyber-1-Flash is itself a routing model that selects the lowest-cost mode for specific security tasks, as opposed to powerful, cybersecurity-dedicated models such as Mythos and GPT-5.6, which he likened to a high-end, ultra-expensive sports car.

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"They're saying, 'We will do this arbitrage between models to pick the right model for the right job, so that you're not paying top dollar,'" he said.

Microsoft Security

Microsoft is also playing to one of its strengths: a longtime focus on enterprise software security, Nicholson said. Because of its pervasive presence in enterprise IT, Microsoft platforms have created a huge attack surface and for years have been a favored target for cyberattacks; at the same time, Microsoft has built formidable security mechanisms to try to protect its software.

Meanwhile, Project Perception, with its red, blue and green team agents, provides a harness around the models that coordinates agents from different teams, said Allie Mellen, a Forrester analyst.

"It is handling the orchestration of these agents ..., the choice of model that best balances quality and cost and is able to provide the right context to the system to get the best outcome," she said. "The truly difficult part of building an agentic system is not the model itself; it's the harness around it. Microsoft is releasing that comprehensive system as a product, which can save users time, resources and architecting."

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Another advantage of Microsoft's approach is that it benefits from the Microsoft's vertical integration, Mellen and Nicholson said.

"Microsoft is launching its own model, so it has more control over the entire stack," Mellen said. "Its own model, based on its own data and expertise, ensures the model is best suited to reason over Microsoft data and best aligns to its products."

About the Author

Senior News Director, AI Business

Shaun Sutner, a journalist with more than 25 years of daily newspaper experience and 12 years at Informa TechTarget as an editor and writer, directs news coverage for AI Business. He was previously a senior news and features writer covering health IT and HR software at TechTarget and a senior news director overseeing coverage of AI, business analytics, data management and government tech regulation.

Sutner's newspaper career included investigative reporting and covering the Massachusetts State House and politics for the Worcester Telegram & Gazette. He has written about snow sports as a T&G columnist and correspondent for 21 years. Sutner's interests also include tennis, standup paddleboarding, cooking and popular music.