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Description
Codename MDASH represents an advanced code scanning tool integrated within Microsoft Defender, leveraging a multi-modal AI framework to uncover, verify, and address vulnerabilities with a level of insight that surpasses conventional static analysis methods. This system enhances the Defender CLI by introducing a multistage process where specialized agents work collaboratively through four distinct phases. Initially, the preparation stage organizes ranked files based on risk, utilizing call-graph analysis and evaluating code complexity to identify functions with the highest likelihood of containing vulnerabilities. The scanning phase then transmits this prioritized code to over 100 specialized agents, including those focused on injection flaws, memory safety issues, and authentication bypasses, ensuring each agent targets a specific category of vulnerability. Following this, the validation phase employs taint analysis, type resolution through Language Server Protocol servers, and a debate among multi-model agents to improve confidence levels and minimize false positives. Finally, the deduplication step merges overlapping findings into a comprehensive set of unique and actionable results, enhancing the overall efficiency of vulnerability management processes. This innovative approach signifies a new era in threat detection and remediation within software development.
Description
Diffray is an advanced code review tool that leverages an AI-driven multi-agent framework composed of specialized agents to thoroughly analyze your codebase, comprehend its context, and provide targeted, actionable insights on pull requests, moving beyond mere generic recommendations and stylistic critiques. In contrast to traditional single-model reviewers, diffray utilizes a diverse array of expert agents that focus on various domains such as security, performance, bugs, quality, architecture, testing, and consistency; this approach enables it to effectively investigate, verify, and validate issues with a confidence scoring mechanism that minimizes false positives while highlighting significant problems like vulnerabilities, concurrency challenges, absent tests, and architectural flaws. With a straightforward integration into GitHub, diffray automatically reviews every pull request, ensuring adherence to team-defined practices encapsulated as "culture as code," which fosters consistent and repeatable guidance for all contributors, ultimately expediting the development process. As a result, teams can achieve a higher level of code quality and efficiency, making diffray an invaluable asset in modern software development workflows.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$19 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
learn.microsoft.com/en-us/security-exposure-management/ai-code-security-overview
Vendor Details
Company Name
diffray
Founded
2025
Country
United States
Website
diffray.ai/