Passing AAISM: A Deep Dive into Domain 1 AI Governance

Are you preparing for ISACA AAISM and confused about how to approach Domain 1: AI Governance and Program Management?
In this master class, Prabh Nair explains AAISM Domain 1 in a practical, exam-focused, and governance-driven way.
AAISM is not a data science certification. It is not mainly about Python, neural networks, model coding, or training models from scratch. AAISM is about how security leaders govern, manage, secure, monitor, and respond to AI-related risks in an enterprise environment.
In this session, we focus on the right AAISM mindset:
Do not think like a technical AI engineer. Think like an AI security governance leader.
Domain 1 focuses on how organizations should establish AI governance, define ownership, create policies, manage stakeholders, maintain AI asset and data inventories, build AI security programs, and prepare for AI-related incidents and business continuity scenarios.
In this video, you will learn:
What AAISM is and who should prepare for it
Why AAISM is relevant for CISM and CISSP professionals
How AAISM connects AI with existing security management programs
Why AI governance must come before AI deployment
What AI Governance and Program Management means
How to identify AI stakeholders and their expectations
Why AI charter, AI policy, and AI steering committee matter
How to separate AI for Security and Security for AI
Why AI asset inventory is the foundation of AI governance
How data inventory, data lineage, classification, and data quality impact AI trust
Why responsible AI requires fairness, transparency, explainability, privacy, accountability, and human oversight
How AI strategy should align with business objectives, risk appetite, and compliance expectations
Why build vs buy is a governance decision, not only a technology decision
How AI vendor oversight and shared responsibility should be handled
Why AI incident response must include models, data, outputs, bias, drift, hallucination, and automated decisions
How BCP, BIA, MTD, RTO, and RPO apply to AI systems
How to think through AAISM-style exam scenarios
This session also explains practical examples such as an AI loan approval system, AI chatbot usage, AI vendor platforms, AI SOC tools, data poisoning, model drift, prompt injection, and AI-related incident response.
The key exam message is simple:
Govern first. Build or buy later.
Every AAISM question should be viewed through governance, risk, assurance, data, and ethics.
If AI cannot be traced, monitored, explained, and governed, it cannot be trusted.
This video is useful for:
AAISM candidates
Security managers
GRC professionals
AI governance professionals
Risk managers
Privacy professionals
Compliance teams
Internal auditors
CISOs and security leaders
Anyone responsible for enterprise AI security governance
Watch the full session carefully and make notes, because Domain 1 builds the foundation for the remaining AAISM domains.
Comment below if you want a separate practice-question session for AAISM Domain 1

AI Practcal
https://www.youtube.com/watch?v=UbmhXtTQL34&list=PL0hT6hgexlYwHLdZR_oHvEKN_8IiAMBcU&pp=sAgC

ISO 42001 Practical
https://www.youtube.com/watch?v=mDuqzICOZZI&t=11s

Practical AI Governance
https://www.youtube.com/watch?v=dQUML9vnlY4&t=175s

AI Governance Foundation
https://www.youtube.com/watch?v=LgFBi5XD-Ow&t=502s

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Видео Passing AAISM: A Deep Dive into Domain 1 AI Governance канала Prabh Nair