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AAISM
Advanced in AI Security Management™

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Course Overview

The Advanced in AI Security Management™ (AAISM™) by ISACA is a globally recognized certification program designed for information security professionals seeking to manage and secure AI technologies across the enterprise.

This intensive two-day course delivers core competencies across three domains: AI governance and security program management, AI risk and opportunity assessment, and AI technology

Key Takeaways

1
Describe the core components of AI security governance, roles, and ethical considerations.
2
Develop foundational strategies for AI risk management, threat response, and vendor evaluation.
3
Apply security architecture principles across the AI lifecycle to ensure secure design and implementation.
4
Evaluate data privacy, trust, and ethical controls within AI-enabled environments.
5
Prepare effectively for the AAISM™ certification exam using real-life scenarios and exam-aligned exercises.

Information Systems Audit and Control Association
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ISACA was incorporated in 1969 by a small group of individuals who recognized a need for a centralized source of information and guidance in the growing field of auditing controls for computer systems. Today, ISACA serves 140,000 professionals in 180 countries. As an independent, nonprofit, global association, ISACA engages in the development, adoption and use of globally accepted, industry-leading knowledge and practices for information systems. Previously known as the Information Systems Audit and Control Association, ISACA now goes by its acronym only, to reflect the broad range of IT governance professionals it serves.

Course Outline

Domain 1: AI Governance and Program Management (31%)
Part A: Roles, Policies & Ethics

•Define AI security responsibilities across the organization

•Evaluate the components of an effective AI policy

•Address ethical considerations in AI development and use

•Align AI strategies with regulatory and industry frameworks

Part B: Security Program Design & Continuity

•Develop and manage AI security programs

•Assess AI assets and data lifecycle processes

•Implement incident response protocols for AI systems

•Integrate AI security into business continuity planning

Domain 2: AI Risk and Opportunity Management (31%)
Part A: Risk Management & Trust

•Describe risk classification categories and assessment frameworks

•Apply privacy impact assessments to AI initiatives

•Define trustworthy AI attributes and risk response strategies

•Analyze AI threat landscape and emerging attack vectors

Part B: Third-Party Risk

•Evaluate security risks in AI providers and supply chains

•Review vendor risk strategies for AI implementation

•Monitor external AI dependencies for vulnerabilities

Domain 3: AI Technologies and Controls (38%)
Part A: Architecture & Lifecycle

•Review major AI model types and capabilities

•Assess AI security architecture and design practices

•Understand each phase of the AI system lifecycle

•Identify data governance and security considerations

Part B: Controls & Supervision

•Apply AI privacy, trust, and safety controls

•Audit AI supervision and monitoring mechanisms

•Evaluate security controls aligned to ethical frameworks

Who Should Attend?

This highly practical and interactive course has been specifically designed for

Information Security Managers

 

 

 

 

Risk and Compliance Officers

IT Governance Professionals

Cybersecurity Leaders

AAISM™ Exam Candidates

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