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ISACA Advanced in AI Security Management (AAISM) Masterclass
New
ISACA Advanced in AI Security Management (AAISM) Masterclass
Master AI Governance, AI Risk Management, and AI Security Controls to Pass the ISACA AAISM Exam
Created byAravind Bhat
Last updated 6/2026
English
What you'll learn
- Master all three AAISM exam domains: AI Governance, AI Risk Management, and AI Technologies and Controls
- Apply NIST AI RMF, ISO 42001, EU AI Act, and COBIT frameworks to real-world AI security scenarios
- Identify, assess, and treat AI-specific risks including data poisoning, adversarial attacks, and prompt injection
- Design and implement AI security architecture using Zero Trust, Defense in Depth, and secure AI lifecycle principles
- Govern AI programs including policy development, stakeholder management, and regulatory compliance
- Manage AI vendor and supply chain security risks using third-party assessment and contractual controls
- Apply privacy, ethical, trust, and safety controls including explainability, fairness, and human oversight mechanisms
- Pass the ISACA AAISM certification exam with confidence using exam-focused tips and practice questions
Explore related topics
Course content
15 sections • 220 lectures • 31h 17m total length
Requirements
- Active CISM or CISSP certification is required to apply for the AAISM credential
- Working knowledge of information security concepts, risk management, and IT governance
- Familiarity with AI or machine learning concepts is helpful but not mandatory
Description
The ISACA Advanced in AI Security Management (AAISM) certification is designed for IT security professionals who want to validate their expertise in securing enterprise AI systems. This course provides a complete, structured preparation program covering all three exam domains with exam-focused content, real-world scenarios, and framework mappings.
What this course covers:
Domain 1 — AI Governance and Program Management (31%)
Build and manage AI governance programs aligned to COBIT, ISO 42001, and the
EU AI Act. Learn stakeholder management, AI policy development, data lifecycle
governance, security program design, and business continuity for AI systems.
Domain 2 — AI Risk and Opportunity Management (31%)
Apply NIST AI RMF, EU AI Act risk tiers, and FAIR-AIR to identify, assess,
and treat AI-specific risks. Master the AI threat landscape including data
poisoning, adversarial attacks, model extraction, prompt injection, and supply
chain threats. Manage vendor risk and third-party AI security obligations.
Domain 3 — AI Technologies and Controls (38%)
Secure the full AI lifecycle from model training to deployment and monitoring.
Apply data management controls, privacy-preserving techniques, ethical AI
controls, explainability mechanisms, and security monitoring for AI systems.
Why choose this course:
- Every slide includes an Exam Tip and Focus Point
- Framework mappings to NIST AI RMF, ISO 42001, EU AI Act, and COBIT
- Real-world scenarios and risk examples throughout
- Designed for CISM and CISSP certified professionals
Prerequisites: Active CISM or CISSP certification required to apply for AAISM
Who this course is for:
- CISM or CISSP certified professionals looking to earn the ISACA AAISM certification and validate their AI security expertise
- IT security managers, CISOs, and AI risk professionals responsible for securing enterprise AI systems
- GRC professionals, IT auditors, and compliance officers working with AI governance and regulatory frameworks