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

Asterisk is an AI-driven platform that automates the detection, verification, and patching of security vulnerabilities within codebases, effectively emulating the approach of a human security engineer. It excels in identifying complex business logic errors through context-aware scanning and provides comprehensive reports with near-zero false positives. Key features include automated patch generation, continuous real-time monitoring, and extensive support for major programming languages and frameworks. Asterisk's process involves indexing the codebase to create accurate call stack and code graph mappings, enabling precise vulnerability detection. The platform has demonstrated its efficacy by autonomously discovering vulnerabilities in systems. Founded by a team of seasoned security researchers and competitive CTF players, Asterisk is committed to leveraging AI to streamline code security audits and enhance vulnerability discovery.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

University cybersecurity labs that need efficient, locally deployable models for locating vulnerabilities in sensitive codebases

Audience

Teams and security professionals interested in a solution to automate their code security auditing processes

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

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

Asterisk
asterisk.so/

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Categories

Categories

Integrations

Common Lisp
GTranscribe
Wiretap Telecom

Integrations

Common Lisp
GTranscribe
Wiretap Telecom
Claim Antares and update features and information
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