CGP: Cyryx Governance Protocol for Agentic AI Execution v1.0

Existing AI governance frameworks---the EU AI Act, the NIST AI Risk ManagementFramework (AI RMF), and ISO/IEC 42001---were designed for AI systems operatingunder continuous human supervision: classifiers, recommenders, and single-turngenerators. None were designed for \emph{agentic} AI systems that autonomouslydecompose goals into multi-step plans, execute sequences of environment-modifyingactions, coordinate multiple specialized sub-agents, and maintain state acrosssessions. Singapore's Model AI Governance Framework (January 2026) is the onlypublished governance document that acknowledges this gap, identifying threeunaddressed risks: cascading failure propagation, emergent scope expansion, andattribution gaps across agent chains. This document introduces the \textbf{Cyryx Governance Protocol (CGP) v1.0}, atechnical framework that fills these gaps with seven control domains andtwenty-eight normative controls (MUST/SHOULD/MAY). CGP is designed as anextension to existing frameworks---not a replacement---with explicit mapping toEU AI Act Articles 9, 12, 13, 14, and 15; NIST AI RMF functions GOVERN, MAP,MEASURE, and MANAGE; and ISO 42001 Clause 6, 7, 8, and 9 controls. Everycontrol in CGP v1.0 has a reference implementation in MAAX Studio by CyryxLabs. CGP is published under Creative Commons Attribution 4.0 (CC BY 4.0) foropen community adoption and review.