CodeMenderGoogle DeepMind
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Codename MDASHMicrosoft
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About
CodeMender is an AI-powered agent developed by DeepMind for automatically finding, diagnosing, and patching security vulnerabilities in software code. It combines advanced reasoning abilities (via Gemini Deep Think models) with program analysis tools, static analysis, dynamic analysis, differential testing, fuzzing, and SMT solvers, to identify root causes of flaws, generate high-quality fixes, and validate them to avoid regressions or functional breakage. CodeMender operates by proposing patches that adhere to style rules and structural correctness, and then uses critique and verification agents to check changes and self-correct if issues arise. It can also proactively rewrite existing code using safer APIs or data structures (for example, applying -fbounds-safety annotations to prevent buffer overflows). To date, CodeMender has upstreamed dozens of patches in large open source projects (including ones with millions of lines of code).
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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
Software engineers, security teams, and maintainers looking for a solution to automate detection and secure patching of vulnerabilities in their codebases with AI assistance
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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 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 InformationGoogle DeepMind
Founded: 2010
United States
deepmind.google/discover/blog/introducing-codemender-an-ai-agent-for-code-security/
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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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Categories |
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Integrations
Gemini
Gemini 2.5 Deep Think
Gemini 3.5 Flash Cyber
Gemini Enterprise
Gemma
Google AI Threat Defense
Imagen
Lyria
MAI-Cyber-1-Flash
Veo
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Integrations
Gemini
Gemini 2.5 Deep Think
Gemini 3.5 Flash Cyber
Gemini Enterprise
Gemma
Google AI Threat Defense
Imagen
Lyria
MAI-Cyber-1-Flash
Veo
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