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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

Discover unoriginal code and detect software similarities using the most sophisticated plagiarism detection solution available. Analyze potential instances of copied code by revealing parallels to countless sources online or from fellow submissions. Evaluate the similarity between multiple pieces of source code and observe highlighted matches with ease. Codequiry is designed specifically for source code detection, ensuring that the results provided are both relevant and trustworthy. Every submission is subjected to thorough examinations to guarantee the originality of the code provided. Prevent the unauthorized copying of code from peers or the internet effectively. Codequiry delves deeper than surface-level features, identifying similarities in logic patterns and the unique coding style. Modifications to elements like variable names, whitespace, function identifiers, comments, or other superficial attributes will not influence the overall similarity findings. Additionally, our algorithm continually enhances its detection capabilities to remain at the forefront of code analysis technology. With Codequiry, you can feel confident in the integrity of your code submissions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$35 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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

Codequiry

Founded

2018

Country

Panama

Website

codequiry.com

Product Features

Product Features

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