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Architecture · AI Governance & Security

The AI Risk Solution Framework

Two rings around one system: governance closest to the AI — the rules for how it's built, approved, and run — and security wrapped around that — the controls that catch what governance alone can't. Hover any node below to read what it actually does.

GOVSECAILifecycle GovernanceManage Use CasesComplianceModel MgmtRisk MgmtNon-Compliance ControlsDashboardDisc / ShadowThreat MonitorAISPMPen TestAI Firewall

Hover any node in the diagram — the center, an inner GOV node, or an outer SEC node — to read what it does.

Why layer it this way

The inner ring is what you'd write down if someone asked "how do we responsibly build and run this." Lifecycle governance, use-case intake, compliance mapping, model management, risk scoring, and the enforcement controls for when something drifts — none of it assumes a bad actor. It assumes good-faith teams who still need gates, owners, and a paper trail.

The outer ring assumes the opposite: that something will bypass the inner ring, whether that's a team spinning up an unregistered LLM integration, an attacker probing for a jailbreak, or sensitive data trying to leave through a response nobody thought to filter. Discovery, posture management, threat monitoring, pen testing, and an inline firewall exist specifically to catch what governance alone can't — which is why security wraps around governance instead of sitting beside it.

Read together, the two rings answer two different questions: GOV asks "is this AI system allowed to do what it's doing," and SEC asks "is anything, right now, doing something it shouldn't." A framework that only answers one of those is watching half the picture.