AI safety and security company from CMU researchers offering Cygnal input/output filtering, the Shade automated attack engine, and a public red-teaming Arena with a corpus of over three million attacks used in frontier-lab model evaluations.
Key Features
- Cygnal input/output filtering
- Shade automated attack engine
- A public red-teaming Arena
- A corpus of over three million attacks
- Frontier-lab model evaluation support
Pros
- Backed by academic research and frontier technology
- Complete proactive defense and automated detection
- Backed by a massive attack database
Cons
- Designed for specific advanced security needs, with a high barrier
- Its ecosystem and applications require some technical background
Use Cases
- Enterprise internal large-model security defense
- Red-team testing and vulnerability assessment of generative AI models
- Ensuring user input and output content compliance
Editor's Note
An AI security defense tool built by a top academic team that effectively helps enterprises safeguard the security risks of generative applications.
FAQ
What core services does Gray Swan AI mainly offer?
It mainly offers Cygnal input/output filtering, the Shade automated attack engine, plus a red-teaming Arena and a massive attack corpus.
Who is this tool suitable for?
It is ideal for enterprises, R&D teams, and security professionals who deploy generative AI and value system security and data defense.
How large is its database?
The platform has a corpus of over three million attacks, widely used in frontier labs' model evaluation and security testing.