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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

Innovations in healthcare have the potential to transform lives and inspire hope, driven by a combination of scientific expertise, empathy, and human understanding. We are confident that artificial intelligence can play a significant role in this transformation through effective collaboration among researchers, healthcare providers, and the wider community. Today, we are thrilled to announce promising strides in these efforts, unveiling limited access to Google’s medical-focused large language model, Med-PaLM 2. In the upcoming weeks, this model will be made available for restricted testing to a select group of Google Cloud clients, allowing them to explore its applications and provide valuable feedback as we pursue safe and responsible methods of leveraging this technology. Med-PaLM 2 utilizes Google’s advanced LLMs, specifically tailored for the medical field, to enhance the accuracy and safety of responses to medical inquiries. Notably, Med-PaLM 2 achieved the distinction of being the first LLM to perform at an “expert” level on the MedQA dataset, which consists of questions modeled after the US Medical Licensing Examination (USMLE). This milestone reflects our commitment to advancing healthcare through innovative solutions and highlights the potential of AI in addressing complex medical challenges.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

C Yes 
CSS Yes 
CodeMender Yes 
Devin Desktop Yes 
Gemini 3.5 Flash Yes 
Gemini 3.7 Flash Yes 
Gemini Computer Use Yes 
Google Yes 
Google AI Studio Yes 
Google AI Ultra Yes 
Google Cloud Platform No 
Java Yes 
Kubernetes Yes 
Lua Yes 
OfoxAI Yes 
OpenClaw Yes 
R Yes 
Replit Yes 
Solidity Yes 
YAML Yes 

Integrations

C No 
CSS No 
CodeMender No 
Devin Desktop No 
Gemini 3.5 Flash No 
Gemini 3.7 Flash No 
Gemini Computer Use No 
Google No 
Google AI Studio No 
Google AI Ultra No 
Google Cloud Platform Yes 
Java No 
Kubernetes No 
Lua No 
OfoxAI No 
OpenClaw No 
R No 
Replit No 
Solidity No 
YAML 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 Yes 
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 Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Google

Country

United States

Website

google.com

Vendor Details

Company Name

Google Cloud

Country

United States

Website

cloud.google.com/blog/topics/healthcare-life-sciences/sharing-google-med-palm-2-medical-large-language-model

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