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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
University cybersecurity labs that need efficient, locally deployable models for locating vulnerabilities in sensitive codebases
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Audience
Developers searching for a solution to find vulnerabilities across their codebase
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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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 |
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Integrations
GitHub
Java
Opsera
Visual Studio Code
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