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What is Mindgard?

Mindgard is an automated AI red teaming platform for security and engineering teams accountable for AI in development and production. It continuously tests AI models, agents, and applications the way real attackers do, finds the vulnerabilities most likely to cause a breach, validates whether guardrails hold, and delivers evidence and remediation steps to close each gap. Coverage includes prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, mapped to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Assessments take hours rather than weeks. SOC 2 Type 2 compliant.

What is Codename MDASH?

Codename MDASH refers to a sophisticated code scanning tool that is incorporated into Microsoft Defender, utilizing a multi-modal AI framework to identify, confirm, and resolve vulnerabilities with far greater depth than traditional static analysis techniques. It enhances the Defender CLI through a multistage method where dedicated agents collaborate across four distinct phases. First, the preparation phase sorts files by risk level, applying call-graph analysis and assessing code complexity to pinpoint functions most likely to harbor vulnerabilities. Next, the scanning phase delivers this prioritized code to over 100 specialized agents, each concentrating on specific types of vulnerabilities such as injection flaws, memory safety concerns, and authentication bypasses, ensuring targeted assessments. The subsequent validation phase incorporates taint analysis and type resolution via Language Server Protocol servers, in addition to a deliberation among multi-model agents, to bolster confidence levels and reduce false positives effectively. Ultimately, the deduplication step consolidates overlapping findings into a coherent set of unique, actionable results, thereby improving the overall efficacy of vulnerability management strategies. This groundbreaking methodology marks a transformative shift in how threats are detected and remediated during the software development lifecycle. As a result, organizations can better safeguard their applications against emerging security risks.

Media

Media

Integrations Supported

Integrations Supported

MAI-Cyber-1-Flash

API Availability

Has API

API Availability

Pricing Information

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.

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Mindgard

Date Founded

2022

Company Location

United Kindom

Company Website

mindgard.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

learn.microsoft.com/en-us/security-exposure-management/ai-code-security-overview

Categories and Features

AI Agent Security

Not specified

AI Security

Not specified

Cybersecurity

AI / Machine Learning
Vulnerability Scanning

Categories and Features

AI Security

Not specified

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