Shannon AI is a Frontier Red Team Lab for LLM Safety. We provide a controlled, sandboxed environment using constraints-relaxed LLMs to simulate adversarial attacks, helping organizations uncover vulnerabilities like jailbreaks, prompt injections, and policy bypasses before they can be exploited.

How is Shannon different from other AI tools?

Shannon is purpose-built for red-teaming with our proprietary DarkEval benchmark achieving 96% exploit coverage. Unlike filtered models, our constraints-relaxed approach can explore vulnerabilities that other AIs simply cannot detect, while maintaining controlled, auditable environments.

What models does Shannon offer?

Shannon 1.6 ships two tiers: Shannon 1.6 Pro (675B full-precision, GRPO-tuned reasoning with visible chain-of-thought) and Shannon 1.6 Lite (quantized for fast everyday use). Legacy models include V1 Balanced, V1 Deep, V1.5 Balanced Thinking, and V1.5 Deep Thinking.

Is Shannon safe to use?

Absolutely. All testing occurs in isolated sandboxed environments. Results are fully logged, auditable, and mapped to compliance frameworks like NIST AI RMF and ISO/IEC 23894. We enable responsible security research, not malicious activity.

How do I get started?

You can start immediately with the free tier. Sign up, access the chat interface, and begin testing. For enterprise needs or custom integrations, contact the team for tailored solutions.

Исследовательский центр

Исследования Shannon, карточки моделей и обновления политик

Изучайте каждую статью, которую мы публикуем вместе с продуктом: карточки моделей для прозрачности, технические заметки и политики, которые делают Shannon безопасной для red-team исследований.

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Ethics & Safety

Responsible Use Policy

Our pledge for responsible access to constraints-relaxed models, including disclosure expectations and safe handling guidance.

Обновлено 2025-12-03 · 3 min read

Исследования Shannon, карточки моделей и обновления политик

Исследовательские статьи

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Исследования Shannon, карточки моделей и обновления политик

Исследовательские статьи

Все исследовательские ссылки