Antares

Antares

Cisco
+
+

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About

Antares is a family of open-weight security small language models purpose-built to localize known vulnerabilities inside large codebases. Antares-350M and Antares-1B are compact enough to run locally or on premises, helping teams keep proprietary source code inside their environment while reducing inference cost and runtime. Starting from a vulnerability description, advisory, or CWE category, the model follows an iterative investigation process similar to a human analyst, it searches for relevant code patterns, reads candidate files, incorporates new evidence, changes direction when a path is unproductive, and narrows the search to the files most likely to contain the weakness. Antares returns a ranked list of potentially vulnerable source files together with the terminal exploration trace that produced the result, making findings easier to review and prioritize.

About

Find unoriginal code and software similarity with the most advanced plagiarism detection solution. Investigate potential copied code by highlighting similarities to billions of sources on the web or from submitted peers. Check the similarity of two or more source codes and view highlighted matches. Codequiry was built around source code detection, this means the results you get are meaningful and reliable. Submissions undergo rigorous checks (more) to ensure that code submissions are original. Put a stop to code copying from peers or the web. Codequiry looks beyond the cosmetics, finding similarities in logic patterns and unique style of code. Altering variables, whitespace, function names, comments, or many other cosmetic features will not affect overall similarity results. Our algorithm is constantly self-improving.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Security researchers and developers that need efficient open-weight AI models to locate known software vulnerabilities within codebases

Audience

Developers looking for a code plagiarism and similar checker platform

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$35 per month
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 3.0 / 5
ease 4.0 / 5
features 4.0 / 5
design 3.5 / 5
support 3.0 / 5

Pros & Cons from Real Users

Pros

  • Codequiry did it's job and consistently checks our student's code for plagiarism. We've been using for a year without any issues. The customer support is not great but we just use the tool itself and it works for us. Its an amazing one and honestly the only product we found that can check code for plagiarism on the web. We used to use moss but it couldn't check online!
  • It ran the reports I needed but that's about it. Don't have anything else to mark off as positive.

Cons

  • There is no customer support however everything is automated
  • Customer service is horrific. Seems to have one person that will only respond on Saturday. The portal says there's a free trial but there's no option in the site to cancel before or after the trial ends. The invoices page in my account always says there's no invoices available even though I've been charged 4 times. Getting support to send me a receipt has been a nightmare and will not verify that my account or subscription is canceled. No option to cancel or delete myself.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Cisco
Founded: 1984
United States
blogs.cisco.com/ai/introducing-antares-the-most-efficient-open-weight-ai-models-for-vulnerability-localization

Company Information

Codequiry
Founded: 2018
Panama
codequiry.com

Alternatives

Alternatives

Laguna XS.2

Laguna XS.2

Poolside
Altar-1

Altar-1

Aikido Security

Categories

AI Models Supported
AI Security Supported

Categories

Plagiarism Checker Supported

Integrations

No info available.

Integrations

No info available.
Claim Antares and update features and information
Claim Antares and update features and information
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Claim Codequiry and update features and information