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Description
Ensure comprehensive coverage across various security scanners, including infrastructure, platforms, and applications. Develop a singular policy that can be uniformly applied to all scanners utilized within the pipeline, catering to any microservice or application. Enhance your software bill of materials by integrating data from your Software Composition Analysis (SCA) platform along with insights from multiple scanners. By providing unified reports that correlate application and vulnerability information, business executives and product owners can significantly expedite their time to market. Implement automated triaging and deduplication processes with a remarkable 95% reduction in noise, allowing you to pinpoint the vulnerabilities that truly require your attention. Additionally, with the introduction of workflow automation, risk-based triaging, and prioritization, your team can scale effectively rather than manually pursuing every single issue. Furthermore, leveraging machine learning for correlation and assessing application-level risk scoring ensures you possess a precise understanding of how each vulnerability impacts your compliance status, thereby reinforcing your security posture. Ultimately, this comprehensive approach empowers organizations to navigate their security landscape with greater confidence and efficiency.
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.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Azure Boards
Checkmarx
GitLab
Jenkins
Jira
MAI-Cyber-1-Flash
Microsoft Teams
Slack
Tenable One
Integrations
Amazon Web Services (AWS)
Azure Boards
Checkmarx
GitLab
Jenkins
Jira
MAI-Cyber-1-Flash
Microsoft Teams
Slack
Tenable One
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
AppSOC
Founded
2021
Country
United States
Website
www.appsoc.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
learn.microsoft.com/en-us/security-exposure-management/ai-code-security-overview