Codename MDASH

Codename MDASH

Microsoft
Pi

Pi

Pi Security
+
+

Related Products

  • cside
    37 Ratings
    Visit Website
  • Kitecyber
    87 Ratings
    Visit Website
  • Criminal IP
    457 Ratings
    Visit Website
  • Daylight
    15 Ratings
    Visit Website
  • Rocket z/Assure VAP
    1 Rating
    Visit Website
  • Anaconda
    625 Ratings
    Visit Website
  • Astra Pentest
    296 Ratings
    Visit Website
  • Athena Security
    5 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • Auth0
    1,082 Ratings
    Visit Website

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

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.

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

Product security, application security, and engineering teams seeking to eliminate recurring vulnerabilities, automate triage and remediation, and embed learned security controls

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

No information available.
Free Version Not Supported
Free Trial Not 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

Pi Security
United States
www.pi.security/

Alternatives

Alternatives

Claude Security

Claude Security

Anthropic
CodeMender

CodeMender

Google DeepMind

Categories

AI Security Supported

Categories

AI Agent Security Supported
AI Security Supported
Code Security Supported

Integrations

Amazon Web Services (AWS) Not Supported
Bitbucket Not Supported
Confluence Not Supported
GitHub Not Supported
GitLab Not Supported
Jira Not Supported
Linear Not Supported
MAI-Cyber-1-Flash Supported
Notion Not Supported
Slack Not Supported

Integrations

Amazon Web Services (AWS) Supported
Bitbucket Supported
Confluence Supported
GitHub Supported
GitLab Supported
Jira Supported
Linear Supported
MAI-Cyber-1-Flash Not Supported
Notion Supported
Slack Supported
Claim Codename MDASH and update features and information
Claim Codename MDASH and update features and information
Claim Pi and update features and information
Claim Pi and update features and information