Designing for AI Internal Control and Compliance The Ledger-Cache Drift and Mutability Control Framework [#991579]

Free Download Designing for AI Internal Control and Compliance: The Ledger-Cache Drift and Mutability Control Framework
English | December 13, 2025 | ASIN: B0G6VPCZG1 | 198 pages | Epub | 776.42 KB
AI systems have an architectural vulnerability that mainstream discourse completely ignores. Enterprise AI increasingly relies on dual-state architectures: authoritative baselines paired with fast working copies. This pattern appears everywhere-data systems, ML platforms, IT operations, emerging hardware. It's elegant and efficient, but creates serious control problems. When both states can change independently, auditors cannot prove which state drove a decision. Traditional frameworks don't address this drift dynamic. EU regulations demand explanations of algorithmic decisions. SOX violations carry severe consequences. Legal challenges are mounting. This book delivers the Ledger-Cache Drift & Mutability Control (LCDMC) framework-ten design controls addressing internal controls and compliance exposure across all dual-architecture systems. Written by a veteran IT, Internal and Big Four auditor and multinational technology consultant with decades implementing IT systems and solutions, this book is relvant for: Auditors: testable criteria for AI system verification. Organizations: a blueprint for designing compliance in from the start. Technical teams: governance patterns that address drift and mutability before they become legal exposure. Don't retrofit controls after deployment. Design compliance in from the start. This book shows you how with audit tests, schema and code examples, cross reference to audit assertions, internal control objectives and specific regulations plus how LCDMC extends existing control frameworks like COSO and SOX and more. Here is the book structure: Introduction Chapter 1 - The Compliance Challenge Chapter 2 - Compliance Risks Explained Chapter 3 - The LCDMC Playbook Chapter 4 - Mapping to Regulatory Frameworks Chapter 5 - Audit Approach Chapter 6 - Practical Applications Chapter 7 - Conclusion Appendix A - Event Log Requirements and Schemas Appendix B - Cross-Domain Risk Comparison Appendix C - Calibration and Verification Protocols Appendix D - Hardware Systems Technical Detail Appendix E - Quick Reference Card for Auditors Appendix F - LCDMC Integration with Domain Objectives Appendix G - Glossary of Terms Bibliorapyy