AI Risk & Governance

Enterprise AI risk taxonomy models agents vendors helps organisations locate exposure across the full AI system rather than treating every failure as model risk. See how models, agents, third-party dependencies, data and decision paths can be connected to business consequences, controls, evidence and accountable owners.

Runtime AI governance controls apply policy at the point where an AI-generated plan becomes an external action. See how identity, delegated authority, task context, transaction parameters and approval thresholds can be evaluated before tools change money, access, data or production state.