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features
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Description

Heeler serves as an advanced application security platform designed to assist both development and security teams in automating the identification, ranking, and resolution of risks associated with open source and applications by consolidating contextual information from various sources, including code, runtime environments, deployments, dependencies, and business logic into a cohesive actionable framework. By integrating static and dynamic analysis, software composition analysis, threat modeling, and secrets scanning with a sophisticated context engine that illustrates the operational behavior of code in production, Heeler allows for the prioritization of threats in real-time based on their exploitability and potential business repercussions, rather than simply relying on the number of vulnerabilities. This platform not only automatically produces validated remediation recommendations but can also generate merge-ready pull requests to update libraries or resolve identified issues, which significantly reduces the need for manual research and expedites the process of implementing fixes. Furthermore, Heeler delivers comprehensive visibility throughout the software development lifecycle, systematically tracking vulnerabilities from the moment they are discovered until they are resolved, while also ensuring that fixes are effectively monitored across various deployments, thus enhancing the overall security posture of the organization.

Description

MAI-Cyber-1-Flash represents Microsoft AI's streamlined, code-intensive security framework designed to detect vulnerabilities within intricate code structures. Originating from the MAI-Thinking-1 family and constructed from the ground up utilizing superior data, it is seamlessly embedded within MDASH, Microsoft's comprehensive system for identifying and addressing vulnerabilities through multiple agents. MDASH leverages over 100 expertly fine-tuned agents along with several advanced models to efficiently locate, confirm, and resolve software vulnerabilities, while MAI-Cyber-1-Flash capably manages up to 90% of related tasks. For particularly complex scenarios, larger models like GPT-5.4 can be engaged, ensuring an expertly calibrated multi-model approach that optimally assigns the appropriate model for each specific task. This collaboration between MDASH and MAI-Cyber-1-Flash has resulted in an impressive performance of 96% on CyberGym, surpassing competitors like Mythos, Gemini, and GPT-based solutions in their ability to analyze extensive codebases for vulnerability detection. Such advancements signify a major leap in ensuring the security and integrity of software systems in an increasingly complex digital landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Codename MDASH No 

Integrations

Codename MDASH Yes 

Pricing Details

$250 per developer
Free Trial No 
Free Version Yes 

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 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 Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Heeler

Founded

2023

Country

United States

Website

www.heeler.com

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

microsoft.ai/news/introducing-mai-cyber-1-flash-inside-mdash/

Product Features

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