ISACA AAISM Certification Prep
Welcome to the ultimate free study guide for the ISACA Advanced in AI Security Management (AAISM) certification. Every chapter of the syllabus pairs a YouTube video lesson with a concise written summary and an exam-focused FAQ — designed for quick scanning, search and last-minute revision. The 47 episodes below cover all three AAISM exam domains.
New episodes are published on the RooCloud YouTube channel, and you can test yourself with chapter-wise multiple-choice questions and full-length practice exams at RooCloud.com.
The AAISM exam is organised into three domains:
- AI Governance and Program Management — Episodes 1–21
- AI Risk and Opportunity Management — Episodes 22–35
- AI Technologies and Controls — Episodes 36–47
📝 Notes + videos are only half the prep
The written notes and video lessons in this guide are designed to be used alongside practice. Reinforce every chapter with chapter-wise MCQs and full-length mock exams at RooCloud.com — read or watch the lesson here, then test your recall and exam-readiness there.
Table of Contents
Domain 1: AI Governance and Program Management
- Episode 1: AI Governance Concepts & AI Readiness Explained
- Episode 2: AI Roles & Responsibilities: Governing Body, Stakeholders & AI Charter
- Episode 3: AI Standards & Frameworks: COBIT, Four Pillars, Laws & Regulations
- Episode 4: AI Use Cases & Their Limitations Explained
- Episode 5: AI Business Cases: Scope, Cost-Benefit Analysis & ROI
- Episode 6: AI Strategy: Vision, Value Alignment, Build vs. Buy & Vendors
- Episode 7: AI Acceptable Use Policy (AUP) Explained
- Episode 8: AI Policy Development: Key Components & Responsible Use
- Episode 9: AI Procedures & Manuals: Documentation Best Practices
- Episode 10: AI Ethics: Bias, Fairness, Transparency, Human Rights & Impact
- Episode 11: AI Asset Identification & Inventory: Methods & Documentation
- Episode 12: AI Data Inventory & Management: Classification, Lineage & Model Cards
- Episode 13: Building an AI Security Program: Trust but Verify, AI Lead & Audits
- Episode 14: AI Security Program Components: Metrics, KPIs & KRIs
- Episode 15: AI-Enabled Security: Network Defense, Decision-Making & Supply Chain
- Episode 16: AI Incident Response — Prepare: IR Team & Tabletop Exercises
- Episode 17: AI Incident Response — Identify & Report
- Episode 18: AI Incident Response — Assess the Incident
- Episode 19: AI Incident Response — Respond: Containment, Eradication & Recovery
- Episode 20: AI Incident Response — Post-Incident Review & Lessons Learned
- Episode 21: Traditional vs. AI-Powered Incident Response: Benefits & Challenges
Domain 2: AI Risk and Opportunity Management
- Episode 22: AI Trust Explained
- Episode 23: AI Risk Identification Explained
- Episode 24: AI Risk Frameworks: NIST AI RMF vs. EU AI Act
- Episode 25: AI Risk Classification & Acceptable Limits: FRIA & Conformity Assessments
- Episode 26: AI Risk Response Strategies: Accept, Avoid, Mitigate & Transfer
- Episode 27: AI Threat Modeling Explained
- Episode 28: The AI Threat Landscape: Technical, Nontechnical & AI-Enabled Threats
- Episode 29: AI Threat Mitigation Strategies
- Episode 30: Enterprises in the AI Supply Chain: Roles Explained
- Episode 31: AI Vendor Management & Key Considerations
- Episode 32: AI Deployer Considerations Explained
- Episode 33: AI Shared Responsibility Model: Deployer vs. Provider
- Episode 34: AI Integration Risk: Legacy Systems & Intellectual Property
- Episode 35: AI Software Supply Chain Risk: Best Practices & Supply Chain Parties
Domain 3: AI Technologies and Controls
- Episode 36: Types of AI: ANI, AGI, ASI, Generative, Agentic & Machine Learning
- Episode 37: AI Security Architecture & Design: Secure by Design & Model Selection
- Episode 38: AI Life Cycle Phases: From Plan & Design to Decommission
- Episode 39: AI Data Governance: Acquisition, Storage, Retention & Destruction
- Episode 40: AI Data Security: Encoding, Access, Backup & Integrity
- Episode 41: AI Privacy Controls Explained
- Episode 42: AI Ethics Controls Explained
- Episode 43: AI Trust Controls Explained
- Episode 44: AI Safety & Human-in-the-Loop (HITL) Explained
- Episode 45: AI Security Controls: Zero Trust, Access Controls & Shadow AI
- Episode 46: AI Security Awareness Training & Closing the Skills Gap
- Episode 47: AI Continuous Monitoring: Model Drift, Threat Intel & Metrics
This study guide is produced by RooCloud. Watch the full series on YouTube, browse all courses at RooCloud @ GitHub, and practice with chapter-wise MCQs and full-length mock exams at RooCloud.com.