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

GPT-5.4-Cyber is a specialized, cyber-permissive variant of GPT-5.4 designed specifically to support defensive cybersecurity workflows, enabling security professionals to analyze, detect, and remediate vulnerabilities more effectively. It is fine-tuned to lower the refusal boundary for legitimate security tasks, allowing deeper engagement with activities such as vulnerability research, exploit analysis, and secure code evaluation that are typically restricted in general-purpose models. A key capability includes binary reverse engineering, which allows the model to analyze compiled software without access to source code to identify malware potential, weaknesses, and overall system robustness. Integrated within OpenAI’s Trusted Access for Cyber (TAC) program, the model is distributed through a tiered access system that requires identity verification and progressive trust levels, ensuring that only vetted defenders, researchers, and organizations can access its most advanced features.

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

Verified cybersecurity researchers and security teams who want a tool to analyze vulnerabilities and strengthen defensive security workflows

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

Free
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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Review this Software

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

OpenAI
Founded: 2015
United States
openai.com/index/scaling-trusted-access-for-cyber-defense/

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Claude Opus 4.6

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Anthropic

Categories

Categories

Integrations

GPT-5.4
GPT-5.5
GPT-5.5 Pro
GPT-5.6 Luna
GPT-5.6 Sol
GPT-5.6 Terra

Integrations

GPT-5.4
GPT-5.5
GPT-5.5 Pro
GPT-5.6 Luna
GPT-5.6 Sol
GPT-5.6 Terra
Claim Antares and update features and information
Claim Antares and update features and information
Claim GPT‑5.4‑Cyber and update features and information
Claim GPT‑5.4‑Cyber and update features and information