Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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

GuardionAI serves as an Agent and MCP Security Gateway, delivering comprehensive security for AI agents and Model Context Protocol tools that interact with enterprise data. Positioned within the execution path, it effectively identifies and redacts sensitive information, implements protective measures, and offers enhanced visibility into activities that conventional SIEM, DLP, and identity frameworks typically miss. Every action performed by agents is meticulously scrutinized, enforced, and logged at the protocol level, encompassing AI agents, LLM applications, RAG systems, chatbots, coding assistants, MCP servers, internal applications, databases, operating systems, and cloud infrastructures. GuardionAI is designed to counteract critical AI vulnerabilities including prompt injection, system overrides, web-based assaults, MCP tool tampering, malicious code execution, exposure of NSFW content, leakage of PII and credentials, unauthorized access to confidential data, off-topic drift, and breaches of access control, all aligned with the OWASP LLM Top 10 and agentic AI threat frameworks. Notably, the gateway offers a robust four-layer protection system, ensuring that organizations can safeguard their AI assets more effectively than ever before. This multifaceted approach not only enhances security but also empowers teams with the insights needed to navigate the complexities of modern AI environments.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Anthropic No 
Claude Code No 
Cursor No 
Gemini No 
GitHub Copilot No 
Helicone No 
LiteLLM No 
LlamaIndex No 
MAI-Cyber-1-Flash Yes 
Meta AI No 
Microsoft Entra ID No 
Model Context Protocol (MCP) No 
Okta No 
OpenAI No 
Pinecone No 
Portkey No 
PostgreSQL No 
Redis No 
Swarm No 
WhatsApp No 

Integrations

Anthropic Yes 
Claude Code Yes 
Cursor Yes 
Gemini Yes 
GitHub Copilot Yes 
Helicone Yes 
LiteLLM Yes 
LlamaIndex Yes 
MAI-Cyber-1-Flash No 
Meta AI Yes 
Microsoft Entra ID Yes 
Model Context Protocol (MCP) Yes 
Okta Yes 
OpenAI Yes 
Pinecone Yes 
Portkey Yes 
PostgreSQL Yes 
Redis Yes 
Swarm Yes 
WhatsApp Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
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 No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
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

GuardionAI

Founded

2025

Country

United States

Website

guardion.ai/

Product Features

Product Features

Alternatives

Claude Security Reviews

Claude Security

Anthropic

Alternatives

CodeMender Reviews

CodeMender

Google DeepMind