Universal Authorization Mechanisms for Privacy-Preserving Computation: A Comprehensive Technical Survey of Applications Across 47 Domains

This technical survey documents the universal applicability of cryptographic authorization enforcement mechanisms based on the Y.I.N. (Your Information Never leaves your control) Mazari Architecture. We systematically enumerate applications across 47 major domains where blinding-dependent computational correctness enables mathematically-enforced authorization. This work extends prior publications on token-based authorization to demonstrate that the core mechanism—mathematical inseparability of authorization tokens and computational correctness—applies universally to any scenario requiring provable authorization for computation. We present 15 distinct authorization type categories, 8 mathematical blinding operation variants, and detailed application taxonomies spanning healthcare, financial services, government, technology, research, emerging technologies, media, industrial systems, transportation, and space/aerospace domains. SCOPE: This publication provides CONCEPTUAL TAXONOMY ONLY. Implementation details including specific cryptographic ordering, blinding factor derivation methods, token generation protocols, and integration architectures are NOT disclosed and remain protected under U.S. Patent Applications 63/949,361 and related filings. COVERAGE:- 47 major domains (Healthcare, Finance, Government, AI/LLM, Payments, CBDCs, Crypto, etc.)- 800+ specific applications- 15 authorization type categories- 100+ organizations/platforms enumerated- Global regulatory compliance mapping (GDPR, HIPAA, SOX, PIPL, DPDP, LGPD)- Regional coverage: 65+ countries, 5.5 billion people, 70% world population This publication serves as a comprehensive reference for practitioners, researchers, and standards bodies working on privacy-preserving computation systems.