sgInnora

sgInnora / InNora_Ares

Public

Ares AI Security Testing Framework

21
12
69% credibility
Found Feb 02, 2026 at 10 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

Ares is an open-source framework for automated security testing of large language models against adversarial attacks like jailbreaks and prompt injections, supporting over 20 global and Chinese LLM platforms with SARIF-compliant reports.

How It Works

1
🔍 Discover Ares for AI safety checks

You learn about Ares, a friendly tool that tests if your AI chatbots can be tricked by bad prompts.

2
đź“Ą Get Ares on your computer

You download the free tool and set it up with a simple click, no tech skills needed.

3
đź”— Link your AI service

You connect the AI you want to test, like your chatbot, so Ares can chat with it safely.

4
🛡️ Run the safety scan

You pick what to check and hit start—Ares runs smart tests to find sneaky weaknesses automatically.

5
đź“Š See the test results

Ares shows clear pictures of what worked, risks found, and easy fixes to make your AI stronger.

âś… Get your security report

You download a professional summary to share, knowing your AI is now much safer from tricks.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 10 to 21 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is InNora_Ares?

InNora_Ares is a Python framework for automated red team testing of LLMs across 20+ platforms, with unique full coverage of Chinese models like Qwen and ERNIE. It runs 120+ attack vectors—jailbreaks, prompt injections, RAG poisoning, agent hijacking—via simple CLI commands like `ares.run_full_scan()` or a web dashboard, outputting SARIF-compliant reports for OWASP LLM Top 10 audits. Docker Compose deploys get you scanning in minutes, no complex setup.

Why is it gaining traction?

Unlike Garak or PyRIT, Ares handles Chinese LLMs natively (15+ platforms) and web automation to bypass API-only limits, plus YAML rules for custom payloads and smart false-positive filtering. The production-ready stack with PostgreSQL, Redis, and billing integration appeals to teams scaling security tests. SARIF exports integrate directly with CI/CD and compliance tools.

Who should use this?

AI security engineers hardening production LLM apps against real-world attacks, especially those using Chinese providers like Baidu or Alibaba. Red teamers benchmarking model robustness or enterprises chasing EU AI Act/NIST compliance via automated scans. Devs building RAG/agent systems needing quick vulnerability reports.

Verdict

Worth a Docker spin for Chinese LLM testing—docs and multi-lang READMEs are solid—but 17 stars and 0.7% credibility score signal early-stage maturity; expect some rough edges until PyPI lands. Solid niche player if that's your stack.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.