AAISM Domain 1, Part B: AI Strategies, Policies & Procedures

Continuing straight from Part A's AI Governance Blueprint, this session breaks down AAISM Domain 1, Part B: AI-Related Strategies, Policies, and Procedures — one of the most heavily tested sections of the AAISM body of knowledge. We cover how mature organizations architect an AI strategy, the Build vs. Buy decision calculus, the shared responsibility gradient with cloud/COTS vendors, how to construct an Acceptable Use Policy and Corporate AI Policy, the Responsible AI maturity model, the NIST SP 1270 bias vectors, and the environmental footprint of large-scale AI. 📘 Practice what you learned here — free AAISM question bank: https://aaism.crashcoursetech.com 🎯 Also prepping for CISSP? Get granular sub-topic analytics (not just a broad domain score): https://cissp.crashcoursetech.com — use code LetsPassYourCISSPExam for a 7-day free trial ⏱️ CHAPTERS Slide 1 - 00:00 - Welcome back + recap of Part A Slide 2 - 01:05 - The Architecture of Trust - Governing AI in the Enterprise Slide 3 - 02:18 - Dual Mandate of AI Policy Slide 4 - 04:55 - The AI Governance Pyramid Slide 5 - 07:00 - Strategic Alignment and The OECD Compass Slide 6 - 09:40 - The AI Value Engine Slide 7 - 11:52 - Architectural Choice - Build vs Buy Slide 8 - 14:42 - The Shared Responsibility Gradient Slide 9 - 16:28 - Set the Acceptable Use Boundary (AUP) Slide 10 18:54 - Constructing the Corporate AI Policy Slide 11 21:26 - The Responsible AI Slide 12 23:33 - Operationalizing SOPs Slide 13 25:50 - The Bedrock - Ethical Imperative Slide 14 28:46 - The Ultimate Alignment Framework Slide 15 30:40 - The Complete Knowledge Map Slide 16 31:27 - Coming Next, QuestionBank of AAISM & CISSP 📌 Coming next: Domain 1, Part C — AI Asset and Data Life Cycle Management (data provenance, synthetic data governance, data poisoning, secure model decommissioning) 👍 If this helped, like, subscribe, and drop your questions in the comments — I read and answer every one. #AAISM #AIGovernance #ISACA #AISecurity #CertificationPrep #AIPolicy #ResponsibleAI #CrashCourseTech