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MAI-Cyber-1-Flash

AI Industry Open Source

A 137B total parameters (5B active parameters) sparse MoE cybersecurity model released by Microsoft, driving MDASH to achieve 95.95% accuracy on CyberGym

CybersecurityAI ModelMicrosoftSparse MoECode Security
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Overview

MAI-Cyber-1-Flash is a sparse mixture-of-experts (MoE) model launched by Microsoft, focusing on cybersecurity. It has a total of 137B parameters but activates only 5B parameters per inference, balancing efficiency and performance. This model powers Microsoft's MDASH system and achieved a 95.95% accuracy rate on the CyberGym benchmark, significantly enhancing threat detection and code security analysis capabilities.

On 2026-10-28, Microsoft brought MAI Cyber 1.1 Flash to the MDASH platform, with reported adoption of the MAI Cyber model doubling to 50 percent.

Key Features

Use Cases

Pros

Pricing

Provided through Microsoft Azure AI services, billed based on API call volume. Specific pricing requires contacting Microsoft sales or referring to the Azure pricing page.

Summary

MAI-Cyber-1-Flash is an efficient and precise cybersecurity AI model. With its sparse MoE architecture and 95.95% accuracy on CyberGym, it is an ideal choice for enterprise threat detection and code security analysis. Its low active parameter design reduces deployment costs, making it suitable for security scenarios requiring real-time response. As of 2026-10-28, the MAI Cyber 1.1 Flash release is available on MDASH, and reported adoption of the MAI Cyber model has doubled to 50 percent.

Version History

Category
AI Industry
Pricing
Open Source
Tags
Cybersecurity · AI Model · Microsoft

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