Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Gemini 3.8 Flash Cyber represents Google's most advanced cybersecurity model, offering top-tier performance in identifying vulnerabilities and automating patching processes with remarkable speed for rapid iteration. Tailored for trusted defenders, it is accessible via the Fairwind Program. On CyberGym, a recognized industry benchmark for detecting vulnerabilities, this model showcases exceptional autonomous vulnerability discovery, outperforming both Gemini 3.5 Flash Cyber and larger frontier models. Furthermore, Google assessed its effectiveness on an internal benchmark that spans complex codebases across 20 programming languages, achieving a success rate of over 70% in identifying various vulnerabilities. Unlike many models that focus on offensive strategies, Gemini 3.8 Flash Cyber emphasizes the importance of fixing vulnerabilities, providing defenders with advanced tools that enhance their ability to stay ahead of cyber attackers. This focus on proactive defense represents a crucial shift in the cybersecurity landscape, prioritizing the safeguarding of systems over mere exploitation capabilities.
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
Integrations
.NET
Yes
CSS
Yes
CodeMender
Yes
Factory Droid
Yes
Gemini 3.8 Flash
Yes
Gemini Computer Use
Yes
Gemini Enterprise
Yes
Gemini Enterprise Agent Platform
Yes
Gemini Managed Agents
Yes
Gemini Spark
Yes
Integrations
.NET
No
CSS
No
CodeMender
No
Factory Droid
No
Gemini 3.8 Flash
No
Gemini Computer Use
No
Gemini Enterprise
No
Gemini Enterprise Agent Platform
No
Gemini Managed Agents
No
Gemini Spark
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
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
Country
United States
Website
google.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
microsoft.ai/news/introducing-mai-cyber-1-flash-inside-mdash/