Classification Governance Module (CGM)
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: CLA™ — Classification Architecture
Parent Standard: Classification Foundation Standard (CFS)
Operational Layer: Classification Foundation Governance Layer
Category: AI & Interpretation
Subcategory: Classification Governance
Type: Parent Standard Module
Governed Space: Classification Governance
Version: 1.0
Status: Canonical · Open Module
Origin Date: 3 August 2026
Compatibility: OOF Methodology OS · GOA™ · OBIDENITY® · INTEGROS® ·
ORA™ · AGA™ · AIG® · CLIA® ·
MGIA™ · ASGA™ · ADIT® · RIS™
AI-Readable: Yes
Authority: OOF®
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL)
Minimum Implementation Framework
1. Define Governance RequirementsEstablish governance objectives, governance authorities,
organizational responsibilities, decision rights, oversight
mechanisms, governance policies, and acceptance conditions.
2. Define Governance Methodology
Develop standardized procedures for governing classification
activities, assigning governance responsibilities, managing
governance decisions, supervising classification operations, and
documenting governance actions.
3. Define Governance Validation Logic
Verify that classification governance remains accountable,
transparent, governance-compliant, methodologically consistent,
independently reviewable, and continuously effective throughout the
complete classification lifecycle.
4. Define Governance Response
Establish procedures for governance deficiencies, policy violations,
unauthorized classification activities, governance exceptions,
corrective actions, governance escalation, and continuous governance
improvement.
5. Preserve Governance Records
Maintain governance policies, authority assignments, governance
decisions, oversight reports, validation records, corrective
actions, approval history, timestamps, and complete governance audit
trails throughout the classification lifecycle.
Use Case 1 — Enterprise Classification Governance
ScenarioA global enterprise establishes a governance board responsible for
overseeing classification methodology across multiple business
units.
Application
Classification Governance Module governs governance
responsibilities, approval processes, oversight mechanisms, and
accountability for all classification activities.
Result
Classification governance becomes accountable, transparent,
consistently managed, and independently auditable across the
complete enterprise.
Use Case 2 — National AI Classification Authority
ScenarioA national authority establishes governance over the classification
of AI systems used in critical infrastructure.
Application
Classification Governance Module governs governance authority,
policy enforcement, oversight activities, decision- making
responsibilities, and continuous supervision of classification
operations.
Result
Classification governance remains trustworthy, accountable,
transparent, methodologically consistent, and independently
verifiable across national regulatory environments.