Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Mindgard is an automated AI red teaming and offensive security platform purpose-built for AI systems and agents. It continuously red teams models, agents, and applications to find the vulnerabilities most likely to cause a breach, validates whether guardrails and controls hold, and shows security and engineering teams how to close each gap.
Tests emulate real attacker behavior across prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, with findings mapped to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Mindgard cuts AI risk assessment from weeks to hours and supports continuous compliance as AI systems change. Modules: AI Discovery & Recon, AI Red Teaming, AI Assessment, AI Runtime Protection, Model Scanning, AI Governance & Compliance.
API Access
Has API
No
API Access
Has API
Yes
Integrations
MAI-Cyber-1-Flash
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Contact vendor
Quote-based. Contact Mindgard to book a demo and discuss pricing. An open-source CLI (pip install mindgard, MIT licence) is available for testing individual models.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
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
Mindgard
Founded
2022
Country
United Kindom
Website
mindgard.ai/
Product Features
Product Features
Cybersecurity
AI / Machine Learning
Yes
Behavioral Analytics
No
Endpoint Management
No
IOC Verification
No
Incident Management
No
Tokenization
No
Vulnerability Scanning
Yes
Whitelisting / Blacklisting
No