Shannon AI is a red-teaming platform that provides constraints-relaxed LLMs for simulating adversarial attacks, helping organizations uncover AI vulnerabilities like jailbreaks and prompt injections. It runs on Shannon Lab LLC’s proprietary GPU inference stack and offers models ranging from the Shannon 2 flagship (1T-parameter MoE) to Shannon 1.6 Pro/Lite and V1 series.
What is Shannon AI?
Shannon AI (Shannon Lab LLC, launched November 8, 2025) is a frontier red-team lab for LLM safety. It accepts natural-language prompts or system instructions and returns model responses with varying degrees of censorship relaxation, enabling controlled adversarial testing. The platform runs on Shannon’s own GPU inference stack (FP8 precision for Shannon 2) and is maintained by co-founders Felix Devon (CTO) and Axel Minh (CFO).
Key Features
- DarkEval Benchmark — Proprietary adversarial evaluation system that reports jailbreak success rates and exploit coverage, with real-time scoreboards.
- Multiple Model Tiers — Includes Shannon 2 (1T parameters, 256K context, FP8, frontier-distilled), Shannon Pro 1.6 (675B parameters, transparent chain-of-thought reasoning via GRPO on KIMI K2 traces), and V1 series (Mixtral 8x7B/8x22B fine-tuned on GPT-5 Pro answers).
- Conversation Memory — Toggleable context-aware memory across sessions, claiming ~40% token savings.
- Skills & Custom Shannons — Create, share, and deploy custom AI behaviors using system prompts and reasoning chains; design personalized assistants with domain-specific knowledge bases.
- Compliance Mapping — Findings automatically mapped to NIST AI RMF, ISO/IEC 23894, and SOC 2 controls for audit-ready documentation.
- Reproducible Test Suites — Detailed logs, signed reports, and re-test verification for complete audit trails.
- Transparent Reasoning (Pro models) — Visible chain-of-thought traces showing how the model arrives at its answers.
Who is it for?
- AI product teams — Pre-launch security validation for chatbots and AI-driven applications.
- Security and compliance officers — Certify AI deployments in regulated industries with audit-ready reports.
- Red team operators — Professional-grade attack simulation to discover novel AI threats.
- AI safety researchers — Controlled environment for exploring edge-case behaviors transparently.
What can you do with Shannon AI?
- Simulate adversarial attacks — Run jailbreak, prompt injection, and policy bypass tests across multiple model deployments, with full transcripts and annotated results.
- Generate compliance documentation — Map findings to NIST AI RMF, ISO/IEC 23894, and SOC 2 controls automatically.
- Build custom red-team workflows — Combine Skills (custom AI behaviors), persistent memory, and chain-of-thought reasoning for multi-turn exploit planning.
How does Shannon AI work?
Users sign up via the free tier, access the chat interface, and select from available models (Shannon 2, V1 series, etc.). All interactions occur in isolated sandboxed environments with full logging and audit trails. Results are exported as detailed logs and signed reports for re-test verification.
Pricing
Freemium model. A free tier is available to start testing immediately; paid plans for enterprise use are listed on the pricing page.
FAQ
Is Shannon AI safe to use?
Yes. 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. The platform is designed for responsible security research, not malicious activity.
