AntaresCisco
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CodeQLGitHub
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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.
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About
Discover vulnerabilities across a codebase with CodeQL, our industry-leading semantic code analysis engine. CodeQL lets you query code as though it were data. Write a query to find all variants of a vulnerability, eradicating it forever. Then share your query to help others do the same. CodeQL is free for research and open source. Run real queries on popular open source codebases using CodeQL for Visual Studio Code. See how powerful it is to discover a bad pattern and then find similar occurrences across the entire codebase. You can create CodeQL databases yourself for any project that's under an OSI-approved open source license. GitHub CodeQL can only be used on codebases that are released under an OSI-approved open source license, to perform academic research, or to generate CodeQL databases for or during automated analysis. Download and add the project’s CodeQL database to VS Code, or create a CodeQL database using the CodeQL CLI.
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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
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Security researchers and developers that need efficient open-weight AI models to locate known software vulnerabilities within codebases
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Audience
Developers searching for a solution to find vulnerabilities across their codebase
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationCisco
Founded: 1984
United States
blogs.cisco.com/ai/introducing-antares-the-most-efficient-open-weight-ai-models-for-vulnerability-localization
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Company InformationGitHub
Founded: 2008
United States
codeql.github.com
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Categories |
Categories |
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Integrations
Earthly Lunar
Not Supported
GitHub
Not Supported
Java
Not Supported
Opsera
Not Supported
Visual Studio Code
Not Supported
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Integrations
Earthly Lunar
Supported
GitHub
Supported
Java
Supported
Opsera
Supported
Visual Studio Code
Supported
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