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Description

Codex Security is an AI-driven application security tool designed to identify vulnerabilities within software projects and provide reliable fixes. Built on OpenAI’s advanced models and the Codex agent framework, the system analyzes code repositories to develop a detailed understanding of a project’s architecture and security posture. It generates a customizable threat model that helps guide the vulnerability detection process. Using this context, Codex Security scans the codebase to identify potential security weaknesses and prioritize them based on their actual risk. The system performs automated validation to verify vulnerabilities and reduce the number of false positives typically produced by traditional security scanners. When issues are confirmed, it generates recommended patches that align with the surrounding code and intended system behavior. This approach helps developers address security problems without introducing unintended regressions. Codex Security also learns from user feedback to improve its detection accuracy over time. The platform is designed to operate at scale and analyze large volumes of commits across repositories. Overall, Codex Security helps development and security teams strengthen application security while reducing manual triage and review workloads.

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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Codename MDASH No 
GPT-5 Yes 
GPT-5.1 Yes 
GPT-5.1 Instant Yes 
GPT-5.1 Thinking Yes 
GPT-5.1-Codex Yes 
GPT-5.1-Codex-Max Yes 
GPT-5.2 Thinking Yes 
GPT-5.2-Codex Yes 
GPT-5.3 Instant Yes 
GPT-5.4 Yes 
GPT-5.4 Pro Yes 
GPT-5.4 mini Yes 
GPT-5.4 nano Yes 
GPT-5.5 Pro Yes 
GPT-5.6 Luna Yes 
GPT-5.6 Sol Ultrafast Yes 
GPT-6 Luna Yes 
Git Yes 
Holo4 Yes 

Integrations

Codename MDASH Yes 
GPT-5 No 
GPT-5.1 No 
GPT-5.1 Instant No 
GPT-5.1 Thinking No 
GPT-5.1-Codex No 
GPT-5.1-Codex-Max No 
GPT-5.2 Thinking No 
GPT-5.2-Codex No 
GPT-5.3 Instant No 
GPT-5.4 No 
GPT-5.4 Pro No 
GPT-5.4 mini No 
GPT-5.4 nano No 
GPT-5.5 Pro No 
GPT-5.6 Luna No 
GPT-5.6 Sol Ultrafast No 
GPT-6 Luna No 
Git No 
Holo4 No 

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 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 Yes 
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 Yes 

Types of Training

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

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

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