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Average Ratings 0 Ratings

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ease 0 out of 5 stars
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support 0 out of 5 stars

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

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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

Gemini 4 Carbon is a frontier AI model developed by Google DeepMind to support advanced cybersecurity defense, autonomous software engineering, and complex reasoning tasks. The model builds on Gemini 4 Argon with improvements in coding accuracy, long-running agent workflows, scientific problem-solving, and multimodal understanding. Its cybersecurity capabilities include identifying software vulnerabilities, validating exploitability, analyzing security risks, and generating code patches that address underlying defects. Gemini 4 Carbon achieved 88.2% on SEC-bench Pro for vulnerability detection, 54.8% on ExploitGym for exploit validation, and 71.0% on CWE-bench for vulnerability remediation in Google's reported evaluations. Its long-horizon agentic capabilities allow the model to investigate complex engineering problems, navigate dead ends, and coordinate tasks that may require extended execution. Software development features include repository-level debugging, secure code generation, full-stack web development, and automated remediation of difficult programming issues. The model also includes improved factual reliability, prompt injection resistance, instruction following, and safeguards against unintended actions. Google reports that Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index version 5.0 with a score of 59.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Antigravity CLI No 
Cheaper Inference No 
Gemini No 
Gemini 3.5 Flash Cyber No 
Gemini Enterprise Agent Platform No 
Gemini Spark No 
Go No 
Google AI Plus No 
Google Antigravity No 
Hermes Agent No 
Kubernetes No 
OfoxAI No 
PHP No 
PowerShell No 
Rust No 
SQL No 
Scala No 
TypeScript No 
Wikis.ai No 
YAML No 

Integrations

Antigravity CLI Yes 
Cheaper Inference Yes 
Gemini Yes 
Gemini 3.5 Flash Cyber Yes 
Gemini Enterprise Agent Platform Yes 
Gemini Spark Yes 
Go Yes 
Google AI Plus Yes 
Google Antigravity Yes 
Hermes Agent Yes 
Kubernetes Yes 
OfoxAI Yes 
PHP Yes 
PowerShell Yes 
Rust Yes 
SQL Yes 
Scala Yes 
TypeScript Yes 
Wikis.ai Yes 
YAML Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$2 per 1M tokens (input)
$2 per million input tokens and $10 per million output tokens, with cached input tokens priced at 95% off input token price.
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 No 
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) No 
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

Google

Founded

1998

Country

United States

Website

gemini.com

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