ISACA Advanced in AI Risk (AAIR) Cert Prep

Course details

This course covers critical components of AI risk governance so you can prepare for ISACA AAIR certification. Explore strategies for embedding AI into enterprise risk frameworks and learn how to manage AI life cycle risks effectively. Gain insights into the latest regulatory compliance and audit strategies for AI systems. Discover advanced threat areas, including shadow AI and generative AI safety, while learning about the nuances of AI governance maturity. Review industry-specific risk management approaches, to help ensure applicability across various sectors like healthcare, financial services, and government. Find out how to enhance your expertise in creating comprehensive AI risk programs and effective governance roadmaps. This course is especially suited for professionals holding certifications like CISA, CISM, and CGEIT, who are looking to align their skills with the evolving landscape of AI risk.

Concepts

Foundations of AI Risk, Governance, and Ethics

Introduction to AI risk and its strategic importance
Global AI governance landscape
Ethical principles in AI
AI governance maturity and readiness

AI Risk Governance and Organizational Integration

Building AI governance structures
Designing AI policies, standards, and guidelines
Embedding AI Into enterprise risk management
Communication and executive decision-making

AI Risk Program Management

Establishing an AI risk program
AI risk identification
Methodologies for AI risk assessment
AI risk monitoring and reporting

AI Life Cycle Risk Management

Understanding the AI system life cycle
Data risk in AI systems
Model risk management
Deployment and operational AI risks
Third-party and vendor AI risk management

Shadow AI, GenAI Safety, and Advanced Threat Areas

Shadow AI risk management
GenAI Security and Safety Risks
Adversarial AI and advanced attack vectors
Human oversight and human-in-the-loop governance

Regulatory, Compliance, and Audit for AI Systems

Global AI regulations and obligations
Compliance framework mapping
Auditing AI systems

AI Risk Control Strategies

Designing preventive controls
Detective controls for AI systems
Corrective controls and risk mitigation
AI incident response and crisis management

Industry-Specific AI Risk Management

AI risk in financial services
AI risk in healthcare
AI risk in energy and critical infrastructure
AI risk in government and public sector

Strategic AI Risk Leadership

Creating an AI risk strategy
AI governance for C-level and board audiences
Building an AI governance roadmap

Final Capstone and Scenario Analysis

End-to-end AI risk scenario walk-through
Case studies of AI failures
Synthesizing a comprehensive AI risk program