Altar-1

Altar-1

Aikido Security
Antares

Antares

Cisco
+
+

Related Products

  • Aikido Security
    239 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • Adaptive Security
    91 Ratings
    Visit Website
  • SOCRadar Extended Threat Intelligence
    115 Ratings
    Visit Website
  • NeuBird
    2 Ratings
    Visit Website
  • Astra Pentest
    295 Ratings
    Visit Website
  • Google AI Studio
    40 Ratings
    Visit Website
  • Daylight
    11 Ratings
    Visit Website
  • optivalue.ai
    4 Ratings
    Visit Website

About

Aikido Altar is an open-weight security model built to bring frontier-grade defensive security intelligence into infrastructure organizations' control. It is designed for sovereign security environments where sensitive source code, architecture documentation, vulnerability findings, and other internal context cannot be sent to third-party inference services. Altar is based on GLM-5.3 and uses quantization and expert pruning to reduce the model from 1.51 TB at full precision to 328 GB while preserving most of the parent model’s reasoning and security capabilities. It retains 168 of the original 256 routed experts per backbone expert layer and uses a W4A16 representation, making deployment more practical for agentic security workloads with large and growing context windows. Expert selection was calibrated using internal pentesting traces and multilingual data, with no customer data involved, to preserve cybersecurity, coding, and language understanding.

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.

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

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

Audience

Security teams and regulated organizations needing to run AI-powered vulnerability research, code analysis, remediation, and pentesting entirely within infrastructure they control

Audience

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

Support

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

Support

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

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$350 per month
Free Version Supported
Free Trial Not Supported

Pricing

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

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

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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

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

Company Information

Aikido Security
Founded: 2022
Belgium
www.aikido.dev/blog/aikido-altar-open-weight-ai-sovereign-security

Company Information

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

Alternatives

No Alternatives

Alternatives

Laguna XS.2

Laguna XS.2

Poolside
Devstral Small 2

Devstral Small 2

Mistral AI

Categories

AI Cybersecurity Supported
AI Models Supported

Categories

AI Models Supported
AI Security Supported

Integrations

No info available.

Integrations

No info available.
Claim Altar-1 and update features and information
Claim Altar-1 and update features and information
Claim Antares and update features and information
Claim Antares and update features and information