Runtime governance plane

Cortex Conduit supports runtime governance.

It helps connect AI-enabled activity to context, authority, control and evidence as AI moves through operational flows.

Why Conduit matters

Governance cannot stop at approval.

Once AI is operating, organisations need a way to understand and govern the flows through which AI interacts with data, systems, tools, models and people. Cortex Conduit provides the public-facing architecture concept for that runtime governance layer — describing the governance outcome, not the internal mechanics behind it.

Governed runtime path Intent Context Runtimegovernance Evidence Accountableoutput
Context, runtime governance and evidence stay connected as AI-enabled activity leads to an accountable output.

What Conduit helps organisations consider

Five runtime governance questions.

What is this AI-enabled activity authorised to do?

What context should it use?

Which model, provider or tool is involved?

What evidence should be retained?

What operational consequence could follow?

In relation to the platform

Conduit depends on Atlas and works with the other planes.

The Cortex platform

Boundary & abstraction edge

Interoperability boundariesCortex Gate
Provider & runtime abstractionCortex Bridge

Governance & evidence core

Runtime governanceCortex Conduit
Observability & traceabilityCortex Lens
Evidence & accountabilityCortex Ledger

Context foundation

Operational contextCortex AtlasEverything else rests on operational context.

Govern AI while it operates.

Cortex Conduit frames how AI-enabled activity can remain connected to context, authority, evidence and consequence as it moves through operational flows.