Frontier Red Team Lab for LLM Safety

See the Risk. Build the Defense.

You cannot defend against what you cannot see. You cannot build safety for what you do not understand.

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DarkEval

Shannon models lead every red-team benchmark we publish. Our adversarial lab keeps an active scoreboard so teams know which engines withstand jailbreak gauntlets.

  • Shannon-V1-Deep: 96% exploit coverage
  • Shannon-V1-Balance: 85% exploit coverage
  • Deepseek-R1-Abliterated: 70% exploit coverage
  • Gemma-3-27b-Abliterated: 69% exploit coverage
Request a full briefing to see how we run DarkEval across your internal models.

Live Exploit Exposure

Shannon chat puts the raw jailbreak pressure on display—full transcripts, memory-aware prompts, and annotated fallout—so teams see exactly where dangerous behavior still leaks.

Ship fixes with the evidence still warm.
Operational response kits

Our response team is trained for demonizing AI dangerous exploits, translating red-team findings into guardrails, executive briefings, and prioritized patch plans your organization can ship now.

Shannon FAQ preview

Quick answers for security leads

We keep a living document of the questions CISOs and red-team owners ask us most. Here are three we answer on every intro call.

What is the 30-second pitch for Shannon?
Shannon AI is a red-teaming lab for AI apps. Our constraints-relaxed LLM, Shannon Deep, safely explores jailbreaks, prompt-injection, data-leakage, and policy bypasses inside a controlled sandbox for authorized red teaming. Shannon Standard provides moderated evaluations for routine checks. We deliver reports, reproducible test suites, and fixes—so you find problems before attackers do.
Do you have approved taglines and positioning?
  • Break your model—before attackers do.
  • Probe the edges. Safely.
  • Entropy to assurance: red teaming for AI.
Use them alongside the framing: “constraints‑relaxed sandbox for authorized red teaming.” It reinforces both capability and control for platform approvals and customer trust.
What are the core messaging pillars?
  • Controlled capability – A constraints-relaxed model in a gated sandbox for ethical testing only.
  • Actionable outcomes – Findings → reproducible prompts → patches → re-test. No “cool jailbreaks” left hanging.
  • Compliance & auditability – Full logs, signed reports, and policy mapping (NIST AI RMF, ISO/IEC 23894, SOC2).
How is the offering packaged?
  • Shannon Deep (gated) – Constraints-relaxed sandbox to fully exercise jailbreak and data-exfiltration risk.
  • Shannon Standard (default) – Moderated evaluation model ideal for CI checks and pre-release scans.
  • Red Teaming Service – Human-in-the-loop engagements, risk report, remediation plan, and re-test cycle.

Have another question? Email team@shannon-ai.com and we'll add it to the full FAQ roll-out.