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01 AI Trust Loop · Stage 04 — Secure

Attack your AI before attackers do.

Stress-test models against real-world threats, surface vulnerabilities, and apply targeted controls — before and after deployment.

02 What Secure does

Find the weaknesses while they’re still cheap to fix.

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.

01 — Test

Automated, agent-based red teaming with Cranium Arena™.

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.

Agent-based attack suites, run automatically
MITRE ATLAS, OWASP and Cranium threat libraries
Prompt-injection, jailbreak and data-leakage simulation
Internal and supply-chain models, tested alike
02 — Fix

Close the gaps fast — and confirm they stayed closed.

Cranium Arena Shield™ turns findings into action: it models threat impact, auto-generates remediations, applies guardrails, and re-tests to verify the fix actually held.

AI simulation models real threat impact
Auto-generated remediations and guardrails
Verified mitigation — re-tested, not assumed
03 — Defend

Defended at runtime, not just hardened at build.

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.

Real-time defense on every prompt, response and tool call
Block, redact, flag or quarantine — by policy
Runtime findings feed the next red-team cycle
03 Why it matters

One motion — before and after deploy.

2
Industry threat libraries built in — MITRE ATLAS and OWASP — plus Cranium’s own
100%
Of the lifecycle covered: red-team at build, defend at runtime
24/7
Continuous re-testing as new threats and new models appear
04 Next in the loop

Secured. Now
prove it.

Testing results and runtime evidence flow straight into Prove — so the last step of the loop is showing your work, not reconstructing it.