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Governance & Control Layer

Governance & Control Layer

Determines who controls canonical representations and how safety, fairness, and accountability are ensured across all layers.

3 primitives2 established1 emerging

Layer Principles

  • •Canonical Authority: Who controls the authoritative record
  • •Update Rights: Who may authorize modifications
  • •Interoperability: Standards preventing fragmentation
  • •Verification: Primitives for attestation and audit
  • •Dispute Resolution: Processes for challenging claims

Primitives in this Layer

Governance & Control LayerConceptEstablished

Canonical Ownership

Canonical ownership is the right to control an entity's authoritative representation in AI-mediated markets.

2 sources
Governance & Control LayerFrameworkEstablished

Representation Governance

Representation governance is the infrastructure layer that determines who controls how AI systems understand entities.

1 source
Governance & Control LayerMechanismEmerging

Verification Primitive

Verification primitives are the cryptographic and procedural mechanisms that enable trust in machine-readable representations.

2 sources

Related Layers

Representation Layer

Encodes market-relevant information in machine-readable form optimized for AI reasoning rather than human browsing.

Interoperability & Standards Layer

Provides standard interfaces, protocols, and trust infrastructure for cross-system communication and portability.

Layer Architecture

The seven layers form an interconnected architecture. Primitives in this layer connect to Representation Layer and Interoperability & Standards Layer.