Stress-test models against real-world threats, surface vulnerabilities, and apply targeted controls — before and after deployment.
Every model and agent you ship is a new attack surface. Secure red-teams it with real-world threat simulations, closes the gaps it finds, and keeps defending in production — so one motion covers before and after deployment.
Arena attacks your AI the way adversaries will — continuously, at scale, and informed by live threat intelligence — surfacing vulnerabilities in models and decision engines in minutes, not quarters.
See our OWASP Top 10 mapCranium Arena Shield™ turns findings into action: it models threat impact, auto-generates remediations, applies guardrails, and re-tests to verify the fix actually held.
The same threats Arena simulates are caught live in production: a real-time control layer blocks, redacts or flags risky prompts, responses and agent actions — with verdicts Observe can explain.
One continuous run through the AI lifecycle in Cranium One — frameworks applied, defenses hardened, guardrails enforced through production.
Governance standards attached to a real model, not a binder.
Adversarial testing and security hardening, run in Arena.
Guardrails enforced as the model moves into production.
How the two disciplines differ, and why enterprise AI needs them to converge into one loop.
Read the guide →
Every model, dataset, library and vendor behind your AI, the risks they carry and a five-step program to control them.
Read the guide →Testing results and runtime evidence flow straight into Prove — so the last step of the loop is showing your work, not reconstructing it.
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