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Governance
Governing AI while it operates.
Cortex governance connects AI-enabled activity to operational context, authority, evidence and consequence — so it remains active as AI moves into real operational environments, not only at policy approval or after audit.
What governance means here
Beyond policy and retrospective audit.
AI governance cannot stop at approval, policy or design. Once AI is operating, organisations need to understand and govern the moment of use: what AI is doing, under whose authority, with what context, through which systems or tools, and with what evidence. Cortex governance brings operational context, runtime governance, observability, evidence and interoperability boundaries together into one coherent approach.
Explore governance
Four connected governance areas.
Runtime Governance
Governing AI while it operates — context, authority, evidence and consequence.
Governance Evidence
Traceable evidence of AI-enabled activity to support review and assurance.
Observability & Traceability
Visibility as a governance outcome, not generic monitoring.
Interoperability Governance
Treating AI connections with systems, tools and providers as boundaries.
Govern AI at the operating moment.
Cortex helps leaders understand what is permitted, visible, evidenced and accountable as AI scales into operations.