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01 AI Trust Loop · Stage 03 — Govern

Policy you write.
Policy that runs.

Define, implement, and enforce AI policy — mapped to NIST AI RMF, the EU AI Act, and your own internal standards.

02 What Govern does

Governance that lives in the system — not in a binder.

Most AI policy exists as documents nobody can enforce. Govern connects the policy you wrote to the systems actually running — at the use-case level — so what’s on paper is what happens in production.

01 — Define

Author policy against the frameworks that matter.

Start from the standards regulators and customers already ask about — then extend with your own internal rules. One policy layer covers every model, agent and vendor in the estate.

Mapped to NIST AI RMF, the EU AI Act and ISO 42001 out of the box
Custom internal standards, encoded alongside the frameworks
Use-case-level governance across code, cloud, endpoints and agents
02 — Enforce

Implementation and enforcement, not intention.

Policies attach to real systems and act: guardrails apply, violations surface, and the same rules hold whether the AI was built in-house, bought, or discovered yesterday.

Policy enforcement wired to the systems Discover found
Violations surfaced with the runtime evidence from Observe
One standard for internal, vendor and third-party AI
03 — Score

Always-current compliance posture.

Cranium ComplianceAgent™ automates framework completion with human oversight, and continuous compliance scoring shows exactly where every system stands — before an auditor asks.

Cranium ComplianceAgent™ automates framework completion
Continuous compliance scoring per system and use case
Posture that feeds straight into Prove — no audit scramble
03 Why it matters

AI governance is a myth without AI security.

Governance-only tools document intentions. Cranium governs with the technical evidence to back it — discovery, live behavior and testing, all feeding the same policy layer.

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Major frameworks mapped out of the box: EU AI Act, NIST AI RMF, ISO 42001
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Policy layer across every model, agent and vendor you run
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Audit scrambles — posture is scored continuously, not annually
04 Next in the loop

Rules are set.
Now pressure-test them.

With policy defined and enforced, the loop moves to Secure — attacking your AI the way adversaries will, and closing the gaps it finds.