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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
Verax is a leading platform designed to help enterprises manage the complexities and risks of deploying large language models (LLMs) in production environments. Through its Control Center, Verax offers real-time behavioral monitoring and automatic fixes for issues like hallucinations, biased responses, and data leakage, helping organizations maintain safe and verified AI operations. The Verax Explore module unlocks detailed insights into user behavior and model trends, empowering teams to continuously refine and improve LLM performance. Verax Protect, an upcoming feature, aims to safeguard sensitive data by preventing leaks and enforcing strict compliance with privacy regulations. The platform is tailored to meet the needs of IT leaders, data scientists, and innovation teams seeking to tame unpredictable LLM behavior and reduce manual intervention. Verax also fosters AI transparency and trust with ongoing educational content, including blogs that cover key challenges like hallucinations. Headquartered in Tel Aviv and Texas, Verax is positioned as a pivotal player in enterprise AI safety. Their solution helps businesses confidently leverage LLM technology while minimizing risks in real-world applications.
API Access
Has API
API Access
Has API
Screenshots View All
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Integrations
MAI-Cyber-1-Flash
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
Microsoft
Founded
1975
Country
United States
Website
learn.microsoft.com/en-us/security-exposure-management/ai-code-security-overview
Vendor Details
Company Name
Verax AI
Founded
2024
Country
United States
Website
www.verax.ai/