MAI-Cyber-1-FlashMicrosoft
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PiPi Security
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About
MAI-Cyber-1-Flash is Microsoft AI’s compact, code-heavy security model for finding vulnerabilities in complex codebases. Derived from the MAI-Thinking-1 lineage and built from scratch on high-quality data, it is deeply integrated into MDASH, Microsoft’s multi-agent vulnerability identification and remediation harness. MDASH uses more than 100 expert-tuned agents and multiple leading models to find, validate, and remediate software vulnerabilities, while MAI-Cyber-1-Flash efficiently handles up to 90% of tasks. Exceptionally difficult cases can be routed to larger models such as GPT-5.4, creating a well-tuned multi-model system that selects the right model for each task. Together, MDASH and MAI-Cyber-1-Flash achieved 96% on CyberGym, outperforming Mythos, Gemini, and GPT-based alternatives in reasoning over large codebases to identify vulnerabilities.
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About
Pi is an agentic product security platform that builds institutional security memory so organizations can find, fix, and prevent recurring vulnerabilities without slowing development. It continuously ingests codebases, past incidents, pentest reports, tickets, and other security history into a living inventory, giving the system context about how the organization builds and secures software. When a vulnerability is found, Pi traces it to its architectural root cause, searches for variants across the codebase, and helps close the entire class of issue rather than treating each finding independently. Remediation is generated in the context of the organization’s languages, architecture, and conventions, then delivered directly into developer workflows. What the system learns becomes prevention guardrails that can be applied in IDEs and pull requests during design and coding, blocking known insecure patterns before they reach production.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Cybersecurity and engineering teams requiring an efficient AI model for high-volume vulnerability analysis and code security tasks
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Audience
Product security, application security, and engineering teams seeking to eliminate recurring vulnerabilities, automate triage and remediation, and embed learned security controls
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMicrosoft
Founded: 1975
United States
microsoft.ai/news/introducing-mai-cyber-1-flash-inside-mdash/
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Company InformationPi Security
United States
www.pi.security/
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Alternatives |
AlternativesNo Alternatives
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Bitbucket
Codename MDASH
Confluence
GitHub
GitLab
Jira
Linear
Notion
Slack
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Integrations
Amazon Web Services (AWS)
Bitbucket
Codename MDASH
Confluence
GitHub
GitLab
Jira
Linear
Notion
Slack
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