Codename MDASHMicrosoft
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Related Products
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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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About
GetReal Security offers advanced, enterprise-grade content verification solutions to prevent deepfakes and impersonation attacks in real time across audio and video streams, as well as collaboration platforms. GetReal's multi-dimensional, layered defense approach includes content credentials analysis, pixel analysis, physical analysis, provenance analysis, semantic analysis, human signals analysis, biometric analysis, behavioral analysis, and environmental analysis to ensure comprehensive protection. Designed for seamless integration into existing collaboration and cybersecurity workflows, GetReal Security helps organizations maintain trust in digital communications by verifying the authenticity, origin, and integrity of content, effectively addressing the challenges posed by AI-generated deception and malicious digital media.
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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
DevSecOps teams managing large polyglot repositories that need deeper vulnerability detection and AI-assisted remediation inside existing delivery pipelines
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Audience
Enterprises and organizations seeking a tool offering protection against AI-generated deception, deepfake fraud, and identity manipulation in digital content
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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
learn.microsoft.com/en-us/security-exposure-management/ai-code-security-overview
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Company InformationGetReal
United States
www.getrealsecurity.com
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Categories |
Categories |
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Integrations
MAI-Cyber-1-Flash
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