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Governance
Runtime governance means governing AI while it operates.
Cortex helps organisations connect AI-enabled activity to operational context, authority, evidence and consequence, so governance remains active as AI moves into real operational environments.
Why it matters
Policy and audit are not enough once AI is operating.
AI systems increasingly interact with live data, operational processes, tools, models and people. Governance that exists only as policy, procurement documentation or retrospective audit cannot provide enough control once AI is being used inside operational workflows.
Runtime governance addresses the operating moment: what AI is doing, under whose authority, with what context, through which systems or tools, and with what evidence.
What Cortex supports
Runtime governance across five connected areas.
Identity & authority
Who or what is acting, and under whose authority.
Operational context
The environment and conditions the activity sits within.
Model, provider & tool interaction
Which models, providers and tools are involved.
Evidence & traceability
What is retained so activity can be reviewed.
Operational consequence awareness
What the activity may affect downstream.
How it helps leaders
Better operational questions before AI scales.
What is permitted?
What is visible?
What is evidenced?
Who remains accountable?
Runtime governance is the broad discipline of governing AI-enabled activity while it operates. The Runtime Control Plane describes where that governance is coordinated, applied and evidenced in operational use. This page focuses on governance practice; the Runtime Control Plane page explains the supporting architecture.
Understand governance at runtime.
Cortex helps leaders frame runtime governance without exposing execution-control mechanics.