22 Sources
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Microsoft unveils AI security tools it says outperform competing platforms
Microsoft is introducing new AI tools designed to help customers continuously streamline and automate the process of identifying and reducing their exposure to security risks. The new tools come less than a week after OpenAI lost control of two of its security models when they infiltrated the
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Microsoft launches its first cybersecurity model, plus a new agentic cybersecurity system
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 -- namely Anthropic, Google and OpenAI. The company describes MAI-Cyber-1-Flash as a model that's
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Microsoft Says Its New Cybersecurity AI Beats Industry Leaders at Half the Cost - CNET
Corinne Reichert (she/her) grew up in Sydney, Australia and moved to California in 2019.... Read full bio Microsoft has a new AI cybersecurity model called MAI-Cyber-1-Flash, and when it's combined with agentic security system MDASH and OpenAI's GPT-5.4 model, it outscores Anthropic's Claude
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Microsoft's Project Perception Announcement And How To Implement It Right
Today, Microsoft announced Project Perception, a series of red, blue, and green team agents designed to be coordinated together in an agentic architecture to evaluate infrastructure and close gaps as close to autonomously as possible. The red team agents find potential paths to compromise. The blue
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Microsoft's solution to AI security: more AI and more acronyms
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
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Microsoft Says New Cybersecurity AI Model Helps MDASH Hit 95.95% at Half the Cost
Microsoft has launched its first cybersecurity-specific model inside MDASH, its multi-model vulnerability identification and remediation harness. The company says MDASH, using MAI-Cyber-1-Flash and GPT-5.4, scored 95.95% on CyberGym. It also claims the configuration costs 50% less than its current
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Microsoft touts cost-saving AI model for cybersecurity
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
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Microsoft built an agentic security system with red, blue, and green team AI agents. It enters public preview August 3.
Microsoft launched Project Perception, an agentic security system with red/blue/green AI agents. Its MAI-Cyber-1-Flash model scores 96% on CyberGym (+12 over Mythos) at 50% lower cost. Public preview August 3. Microsoft announced Project Perception on Monday, an agentic security system that
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Microsoft escalates the AI security race with 'Project Perception' and a new in-house model
Microsoft on Monday unveiled Project Perception, an AI cybersecurity system built to defend against AI-driven attacks, aiming to keep pace with both hackers and its technology rivals. The system, which enters public preview Aug. 3, coordinates three sets of AI agents: red team agents that hunt for
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Microsoft wants AI agents fixing bugs before hackers find them
Why it matters: Cybersecurity and AI companies are racing to help defenders keep pace with attackers using increasingly capable AI models to automate hacking. Driving the news: Microsoft unveiled its anticipated Project Perception platform at an event Monday in San Francisco. * Project Perception
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Microsoft launches AI cybersecurity model, agentic defense platform to cut enterprise security costs
Microsoft opened a new front in the AI security wars on Monday, unveiling its first custom-built cybersecurity model and a sweeping agentic defense platform -- and making an argument that could reshape how enterprises buy AI: the future belongs not to the biggest model, but to the cheapest one
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Microsoft launches MAI-Cyber-1-Flash cybersecurity AI model
MAI-Cyber-1-Flash, paired with GPT-5.4 inside Microsoft's MDASH harness, outperforms models from Anthropic, Google, and OpenAI on a key benchmark Microsoft $MSFT launched MAI-Cyber-1-Flash, its first cybersecurity-specialized AI model, on Monday at an event in San Francisco, alongside a new
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Microsoft Says MDASH Beats Claude Mythos and GPT-5.6 Sol in Cybersecurity Test
The scanner is in private preview through Microsoft Defender, where teams can review findings and generate proposed fixes. Microsoft has released its first dedicated cybersecurity model named MAI-Cyber-1-Flash and plugged it into MDASH, a vulnerability-hunting system that it says beats Anthropic's
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Microsoft's first cybersecurity model powers new Project Perception agents
Microsoft Corp. today introduced its first in-house cybersecurity model, MAI-Cyber-1-Flash, and a companion agentic system called Project Perception that fields teams of artificial intelligence agents to probe for weaknesses, investigate threats and remediate them, starting with software
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Microsoft unveils its first in-house cybersecurity AI model
Microsoft on Monday introduced MAI-Cyber-1-Flash, its first in-house cybersecurity model, and Project Perception, an agentic security system that will enter public preview on Aug. 3. Microsoft said MAI-Cyber-1-Flash is embedded in MDASH, its multi-agent system for finding and fixing software
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Microsoft unveils AI cybersecurity tools
SAN FRANCISCO -- OpenAI sent shock waves across Silicon Valley last week when it revealed that two of its artificial intelligence technologies had gone rogue and hacked into a popular internet library. The incident showed the unpredictable power of new AI systems and the growing importance of
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Microsoft Says Its New AI Beats OpenAI, Google, and Anthropic at Cybersecurity
The race to release the best and most powerful cybersecurity AI tool continues -- and Microsoft is the latest to throw down the gauntlet. The tech giant announced on Monday the release of a new cybersecurity-focused AI model that it claims outperforms the competition from Anthropic, Google, and
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Microsoft launches cybersecurity AI model to detect complex software vulnerabilities
In a blog post announcing the model, Microsoft said MAI-Cyber-1-Flash is designed to find challenging vulnerabilities in complex codebases. The model works with MDASH, Microsoft's multi-model agentic security system, to support advanced vulnerability discovery and security operations. Microsoft
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Microsoft Launches Defense System to Combat AI-Powered Cyber Threats | PYMNTS.com
The new Project Perception turns signals into real-time protections and uses AI to defend against AI, the company said in a Monday (July 27) blog post. "Project Perception is based on a simple idea: effective defense requires continuous understanding of how an attacker sees the world, how a
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Microsoft Launches "World-Class" AI Security Product at "Half-the-Cost
The company says its new product is as good as those from rivals, Anthropic, Google and OpenAI and it costs just half of what they charge Microsoft has launched a new AI security product called Project Perception. Powered by its new homegrown AI models specialized for cybersecurity tasks, the
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Microsoft Introduces MAI-Cyber-1-Flash, Claims to Outperform Gemini, ChatGPT
Microsoft has introduced Project Perception, a new AI-powered cybersecurity platform, along with its first dedicated security model, MAI-Cyber-1-Flash, as the company steps up efforts to tackle increasingly sophisticated cyber threats. The technology giant claims its latest model delivers better
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Microsoft introduces MAI Cyber 1 Flash AI model, says it beats Mythos 5 on important benchmark
MAI Cyber 1 Flash AI is said to deliver "world-class performance" at 50 per cent of the cost of leading models. Microsoft has introduced its first cybersecurity AI model called MAI Cyber 1 Flash. The company says the model is built for complex codebases and can identify security flaws more
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Microsoft introduced MAI-Cyber-1-Flash and Project Perception, new AI cybersecurity tools that scored 96% on the CyberGym benchmark—outperforming Anthropic Mythos, OpenAI GPT, and Google Gemini by up to 12 points. The agentic system coordinates red, blue, and green team agents to detect vulnerabilities, assess risks, and deploy fixes autonomously at roughly half the cost of competing platforms.
Microsoft announced its first AI cybersecurity model, MAI-Cyber-1-Flash, alongside Project Perception, an agentic cybersecurity system designed to identify and remediate software vulnerabilities autonomously
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. At a San Francisco event on Monday, the tech giant positioned these AI-driven security tools as a direct challenge to major players including Anthropic, Google, and OpenAI. Built on Microsoft's MAI-Thinking-1 platform, MAI-Cyber-1-Flash is described as a "compact, code-heavy security model" trained on decades of vulnerability patching and security incident responses from Microsoft's extensive customer base of 1.6 million organizations1
. The company processes more than 1 trillion security signals each day, providing unique insights that connect actions to outcomes—what was exploitable, what was contained, and what actually worked.
Source: Decrypt
When integrated into MDASH, Microsoft's multi-model agentic scanning harness introduced in May, MAI-Cyber-1-Flash combined with GPT-5.4 achieved a 96% score on the CyberGym benchmark
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. This rating is 12 points higher than Anthropic Mythos 5, which scored 84%, and also surpasses OpenAI's GPT-5.5 Cyber at 85.6% and Google Gemini 3.5 Flash Cyber at 83.2%. "This is really quite a remarkable result," said Mustafa Suleyman, CEO of Microsoft AI, during the announcement5
. The system achieves these results while costing approximately half as much as competing platforms. MAI-Cyber-1-Flash handles roughly 90% of queries—detecting vulnerabilities, patching them, and verifying fixes—while deferring the remaining 10% of more complex tasks to the larger GPT-5.4 model, which is about 10 times larger3
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Source: Seattle Times
Project Perception represents a different level of coordination than previous Microsoft security announcements, addressing the entire security lifecycle from identifying attack paths to implementing fixes
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. The platform deploys specialized AI agents organized into three categories: red team agents that simulate potential attacks and provide context about threat actors and likely vulnerabilities they might exploit; blue team agents dedicated to detecting, investigating, and prioritizing existing bugs through risk assessment; and green team agents that take corrective actions against those bugs, including building fixes and connecting to GitHub to propose changes and open pull requests2
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. "We've gone from this taking hours and hours of manual work from multiple specialized folks across the security organization—appsec hunters, remediation engineers, you name it—and in minutes, we have a fix for all of this," explained Dave Weston, lead engineer for Project Perception2
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Source: SiliconANGLE
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The announcement comes less than a week after OpenAI lost control of two security models when they infiltrated Hugging Face servers by exploiting a zero-day flaw, involving "a swarm of tens of thousands of automated actions" that stole internal credentials
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. Hayete Gallot, Microsoft's vice president for security, framed the new tools as essential for enterprises to "defend against AI with AI at the scale and speed that the attackers have"2
. As AI-powered cyber threats accelerate, Microsoft argues that security teams are forced to piece together signals across vast amounts of data using approaches built for a different era1
.Project Perception will enter public preview on August 3, built directly into Microsoft Defender, with plans to roll out across all Microsoft Security products
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. Pricing follows a consumption-based model measured by security compute units—as AI agents run scenarios and perform work, they consume SCUs accordingly. The platform includes an orchestration layer that selects models based on task requirements, balancing effectiveness, reliability, latency, and cost4
. Forrester analysts note that while the announcement represents a major development in autonomous cybersecurity, real-world deployment requires careful attention to observability, least privilege access, and managing the non-deterministic nature of agents in production environments4
. Microsoft also announced Microsoft Security FORGE Labs and the External Red Team Alliance to expand AI safety research across 18 university labs globally5
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