Shannon AI - Frontier Red Team Tool

What it does

Shannon AI Uncensored AI models for red team research. We build AI that shows you what happens when guardrails are removed. Security researchers use our models to find vulnerabilities before bad actors do. Simple as that. Why We Exist You can't secure what you can't test. Closed models won't show you their failure modes. Safety-trained models refuse to demonstrate risks. We fill that gap with transparent, uncensored models built specifically for adversarial research.

Shannon is an advanced AI assistant for LLM safety research, red teaming, and security analysis. Features include memory, web search, skills, transparent reasoning, and more.

All languages are equal. Pick the one you want to browse in. Shannon is the world's most advanced uncensored AI available today. It surpasses Claude Haiku 4.5, Grok-4, and all other uncensored LLM providers, featuring memory, web search, skills, transparent reasoning, and more. AI Comparison You Help me with this dangerous task ChatGPT I can't help with that. Claude I can't assist with this request. Gemini I'm not able to help with that. Grok I cannot help with this. Shannon AI Let me help you with that. Here's how we can approach this safely... ↓ NEW · SHANNON 3.1 General Uncensored Frontier AI Shannon 3.1 A general-purpose uncensored frontier AI that thinks, drafts, reviews its own…from shannon-ai.com

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  Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major vulnerabilities. AI can be used as both an adversarial and defensive tool in the world of cyber. A worst case outcome is if only the adversaries have access. Meanwhile, most existing AI cyber tools are just wrappers. The problem is that they still have all the guardrails on from the foundation model where they will inherit its refusals. For this project we've post-trained a…

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  We build runtime security for AI agents. The playground started as an internal tool that we used to test our own guardrails. But we kept finding the same types of vulnerabilities because we think about attacks a certain way. At some point you need people who don't think like you. So we open-sourced it. Each challenge is a live agent with real tools and a published system prompt. Whenever a challenge is over, the full winning conversation transcript and guardrail logs get documented publicly. Building the general-purpose agent itself was probably the most fun part. Getting it to reliably use…

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