Architecture

The runtime control plane is where AI governance becomes operational.

Cortex is designed to connect AI-enabled activity to context, authority, evidence and consequence while AI-enabled operations are taking place.

Why runtime control matters

Governance must address the operating moment.

If AI is used inside operational processes, governance must address the operating moment. Runtime control is concerned with what AI is permitted to do, what context applies, what tools or systems are involved, what evidence is retained and how accountability remains clear.

Governed runtime pathIntentContextRuntimegovernanceEvidenceAccountableoutput
Governance stays connected to AI-enabled activity through context, evidence and accountability as it operates.

What runtime control accounts for

Five high-level operational factors.

Identity & authority boundaries

Who or what is acting, and under whose authority.

Operational context

The conditions the activity sits within.

Model, provider & tool involvement

What is part of the activity.

Evidence & traceability

What is retained for review.

Operational consequence awareness

What the activity may affect.

The Runtime Control Plane describes where runtime governance is coordinated, applied and evidenced while AI-enabled activity is operating. This page focuses on governance architecture, not internal control mechanics or deployment design.

Understand governance at runtime.

Cortex helps technical and governance stakeholders frame runtime control without exposing execution-control mechanics.