Cranium runs your models through the AI Trust Loop — Discover, Observe, Govern, Secure, Prove — continuously. Evidence builds while you build, so launch day isn't review day.
Your work is solid. What slows it down isn't the model — it's everything nobody can answer about it.
Security asks questions your notebooks were never built to answer. Weeks pass. The model waits.
Once agents and LLMs hit production, "what is it actually doing right now?" has no honest answer.
Spend scales with usage, not budget. The invoice is the first anyone hears about it.
Discover → Observe → Govern → Secure → Prove — continuously. Cranium folds each stage into the way you already work, so trust is a byproduct of building — not a gate at the end.
CodeSensor, CloudSensor, and AgentSensor find every model, dataset, agent, and dependency across your repos and cloud — and auto-generate an AI Bill of Materials for each. The documentation security keeps asking for writes itself.
Every session rendered as a sequence diagram. 100+ risk signals and 250+ intent classifications on live traffic, with deterministic non-LLM verdicts from Trace — no model grading its own homework. Token and cost tracking included, so spend surprises end here.
Cranium Arena runs adversarial testing from MITRE ATLAS and OWASP libraries against your models — prompt injection, data leakage, jailbreaks — and Arena Shield auto-remediates what it finds. You see the findings before a reviewer ever could.
ComplianceAgent maps your systems to NIST AI RMF, the EU AI Act, and ISO 42001 with continuous compliance scoring. Real-time Cranium AI Cards carry the evidence. When the review lands, you send a link — not a two-week retrospective.
Cranium is SOC 2 Type 2 and ISO 27001 certified, and trusted by large financial institutions — the teams with the strictest reviews you'll ever meet.
Vulnerabilities surface in your pipeline, not in production. Deployment stops waiting on someone else's checklist.
See SecureDocumentation, testing, and monitoring run themselves. Your time goes to experiments, not evidence-gathering.
See ObserveOne live view of every model's behavior, risk, and cost — ready to share upward without translation.
See ProvePrototype fast. The loop keeps reproducibility and compliance intact, so speed never turns into cleanup.
See DiscoverSee the AI Trust Loop run against one of your own models — from first discovery to a review-ready AI Card.
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