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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Antares represents a suite of open-weight security small language models specifically designed to identify existing vulnerabilities within extensive codebases. With models like Antares-350M and Antares-1B, organizations can operate them locally or on-site, allowing for the protection of proprietary source code while also minimizing both inference costs and runtime. The process begins with a description of the vulnerability, an advisory, or a CWE category, where the model engages in a step-by-step investigation akin to that of a human analyst, systematically searching for pertinent code patterns, examining potential files, assimilating new information, and altering its approach when certain avenues prove unfruitful. This strategy enables the model to focus its efforts on the files that are most likely to harbor the identified weaknesses. Ultimately, Antares generates a prioritized list of potentially vulnerable source files along with the detailed exploration trail that led to these findings, facilitating easier review and prioritization for teams. Moreover, this capability not only streamlines the vulnerability assessment process but also enhances the overall security posture of the development environment.

Description

Gemini 3.5 Flash Cyber is a dedicated model designed specifically for cybersecurity, built upon Gemini 3.5 Flash, and refined to efficiently discover, validate, and resolve vulnerabilities at scale. Its primary objective is to support defensive security operations by enabling organizations to quickly pinpoint critical vulnerabilities and produce dependable patches before they can be exploited. The remarkable blend of performance and efficiency offered by Flash provides an excellent basis for code scanning, assessing security issues, confirming the authenticity of findings, and suggesting precise remediation strategies within extensive software environments. In the CodeMender framework, numerous Gemini 3.5 Flash Cyber agents collaborate seamlessly, merging their insights into a comprehensive report that enhances the system's ability to analyze vulnerabilities from various perspectives and elevate the overall quality of the findings. This collaborative agent framework ensures exceptional performance on CyberGym, which serves as a benchmark for assessing cybersecurity effectiveness, while also fostering continuous improvement in vulnerability management practices. Ultimately, the capabilities of Gemini 3.5 Flash Cyber not only streamline security workflows but also strengthen an organization's resilience against potential threats.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Agent Search on Gemini Enterprise Agent Platform No 
Bash No 
C# No 
C++ No 
Dart No 
Devin Desktop No 
Gemini No 
Gemini 3.8 Flash No 
Gemini 4 Argon No 
Gemini Enterprise Agent Platform No 
Go No 
Google AI Mode No 
HTML No 
Java No 
Kotlin No 
Kubernetes No 
Lua No 
Objective-C No 
OfoxAI No 
Swift No 

Integrations

Agent Search on Gemini Enterprise Agent Platform Yes 
Bash Yes 
C# Yes 
C++ Yes 
Dart Yes 
Devin Desktop Yes 
Gemini Yes 
Gemini 3.8 Flash Yes 
Gemini 4 Argon Yes 
Gemini Enterprise Agent Platform Yes 
Go Yes 
Google AI Mode Yes 
HTML Yes 
Java Yes 
Kotlin Yes 
Kubernetes Yes 
Lua Yes 
Objective-C Yes 
OfoxAI Yes 
Swift Yes 

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 Yes 
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) Yes 
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

Cisco

Founded

1984

Country

United States

Website

blogs.cisco.com/ai/introducing-antares-the-most-efficient-open-weight-ai-models-for-vulnerability-localization

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.google.com

Product Features

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