Getting Started with ARES

ARES (AI Robustness Evaluation System) is a red-teaming framework for evaluating AI system vulnerabilities by simulating real-world attacks.

_images/ares_pipeline.png

Quickstart (TL;DR)

Want to try ARES right away? Here’s the fastest way to get started:

# Install from PyPi
pip install ares-redteamer

# Run a minimal evaluation
ares evaluate example_configs/minimal.yaml --dashboard

This runs a simple evaluation with default goal, strategy, and target. Dashboard will open automatically.

What You’ll See

After running the Quickstart, you can expect:

  • Console output showing evaluation progress

  • JSON logs saved in the logs/ directory

  • Dashboard UI displaying configuration and evaluation results

  • Summary of attack success rates for the tested goals and strategies

To customize your setup, see the ARES Usage section.

To explore available attack strategies and their corresponding plugins, see ARES Strategies.

Feedback

We welcome feedback and contributions! Please open an issue or pull request on GitHub.