Codename MDASHMicrosoft
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Related Products
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About
Arambh Labs is an agentic AI platform built to transform security operations from reactive firefighting into intelligent, proactive defense. The system deploys specialized AI agents — such as Byte, Rook, Echo, and Talon — each with distinct roles in alert response, strategic planning, threat hunting, and intelligence gathering. By correlating signals across identity, data, endpoints, networks, and cloud environments, the platform delivers full visibility into an organization’s security posture. Its intelligent prioritization ensures that teams focus only on the risks that truly matter, eliminating alert fatigue. Agentic remediation capabilities allow threats to be contained and vulnerabilities fixed at machine speed, drastically reducing mean time to response (MTTR). Backed by ex-Googlers and Fortinet engineers with patented expertise, Arambh Labs is enterprise-ready, scalable, and trusted by leading global security teams.
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About
Codename MDASH is an agentic code scanner in Microsoft Defender that uses a multi-model AI system to detect, validate, and remediate vulnerabilities with greater depth than traditional static analysis. It extends Defender CLI with a multistage pipeline in which specialized agents collaborate across four stages. Prepare ranks files by risk using call-graph analysis and code-complexity metrics, prioritizing functions most likely to contain vulnerabilities. Scan sends ranked code to more than 100 expert agents, including injection, memory-safety, and auth-bypass auditors, with each agent focused on a specific vulnerability class. Validate combines taint analysis, type resolution through Language Server Protocol servers, and multi-model agentic debate to refine confidence and reduce false positives. Dedup consolidates overlapping results into a final set of unique actionable findings.
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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
Security leaders, CISOs, and enterprise security teams seeking proactive, AI-driven operations that reduce alert fatigue, accelerate response, and strengthen defense against evolving threats
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Audience
DevSecOps teams managing large polyglot repositories that need deeper vulnerability detection and AI-assisted remediation inside existing delivery pipelines
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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 VideosNo images available
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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 InformationArambh Labs
Founded: 2024
United States
arambhlabs.com
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Company InformationMicrosoft
Founded: 1975
United States
learn.microsoft.com/en-us/security-exposure-management/ai-code-security-overview
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Integrations
MAI-Cyber-1-Flash
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