Codename MDASH

Codename MDASH

Microsoft
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+

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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.

About

diffray is an AI-powered code review tool that uses a coordinated multi-agent system of specialized agents to analyze your codebase deeply, understand context, and deliver focused, actionable feedback on pull requests instead of generic suggestions and style nitpicks. Unlike single-model reviewers, diffray deploys multiple expert agents across domains such as security, performance, bugs, quality, architecture, testing, and consistency to investigate, verify, and validate issues with confidence scoring, reducing false positives while surfacing real problems like vulnerabilities, concurrency issues, missing tests, and architectural anti-patterns. It integrates with GitHub via a simple setup, reviews every pull request automatically, and enforces team-defined practices as “culture as code,” giving consistent, repeatable guidance across contributors and accelerating development cycles.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Security and engineering teams that need to detect, validate, prioritize, and automatically fix vulnerabilities across software repositories with agentic AI

Audience

Developers, engineering teams, and solo builders who want automated, context-aware AI code reviews that catch real bugs and enforce coding standards

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$19 per month
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Microsoft
Founded: 1975
United States
learn.microsoft.com/en-us/security-exposure-management/ai-code-security-overview

Company Information

diffray
Founded: 2025
United States
diffray.ai/

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CodeMender

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Mesrai

Mesrai

Mesrai Technologies

Categories

AI Security Supported

Categories

AI Code Review Supported

Integrations

GitHub Not Supported
MAI-Cyber-1-Flash Supported

Integrations

GitHub Supported
MAI-Cyber-1-Flash Not Supported
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