ISACA Advanced in AI Audit (AAIA) Exam Syllabus

AAIA PDF, AAIA Dumps, AAIA VCE, ISACA Advanced in AI Audit Questions PDF, ISACA Advanced in AI Audit VCE, ISACA Advanced Audit-Specific Artificial Intelligence Dumps, ISACA Advanced Audit-Specific Artificial Intelligence PDFUse this quick start guide to collect all the information about ISACA AAIA Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the ISACA Advanced in AI Audit (AAIA) exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual ISACA Advanced in AI Audit (AAIA) certification exam.

The ISACA AAIA certification is mainly targeted to those candidates who want to build their career in AI Audit domain. The ISACA Advanced in AI Audit (AAIA) exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of ISACA Advanced Audit-Specific Artificial Intelligence.

ISACA AAIA Exam Summary:

Exam Name ISACA Advanced in AI Audit (AAIA)
Exam Code AAIA
Exam Price ISACA Member: US $459
ISACA Nonmember: US $599
Duration 150 mins
Number of Questions 90
Passing Score 450 / 800
Books / Training AAIA Online Review Course
Schedule Exam Exam Registration
Sample Questions ISACA AAIA Sample Questions
Practice Exam ISACA AAIA Certification Practice Exam

ISACA Advanced Audit-Specific Artificial Intelligence Exam Syllabus Topics:

Topic Details Weights
AI GOVERNANCE AND RISK This Domain demonstrates your ability to advise stakeholders on implementing AI solutions through appropriate and effective policy, risk controls, data governance and ethical standards.

A. AI MODELS, CONSIDERATIONS, AND REQUIREMENTS
  • Types of AI
  • Machine Learning/AI Models
  • Algorithms
  • AI Life Cycle
  • Business Considerations

B. AI GOVERNANCE AND PROGRAM MANAGEMENT

  • AI Strategy
  • AI-Related Roles and Responsibilities
  • AI-Related Policies and Procedures
  • AI Training and Awareness
  • Program Metrics

C. AI RISK MANAGEMENT

  • AI-Related Risk Identification
  • Risk Assessment
  • Risk Monitoring

D. PRIVACY AND DATA GOVERNANCE PROGRAMS

  • Data Governance
  • Privacy Considerations

E. LEADING PRACTICES, ETHICS, REGULATIONS, AND STANDARDS FOR AI

  • Standards, Frameworks, and Regulations Related to AI
  • Ethical Considerations
 33%
AI OPERATIONS This domain confirms your skill in balancing sustainability, operational readiness, and the risk profile with the benefits and innovation AI promises to support enterprise-wide adoption of this powerful technology.

A. DATA MANAGEMENT SPECIFIC TO AI
  • Data Collection
  • Data Classification
  • Data Confidentiality
  • Data Quality
  • Data Balancing
  • Data Scarcity
  • Data Security

B. AI SOLUTION DEVELOPMENT METHODOLOGIES AND LIFECYCLE

  • AI Solution Development Life Cycle
  • Privacy and Security by Design

C. CHANGE MANAGEMENT SPECIFIC TO AI

  • Change Management Considerations

D. SUPERVISION OF AI SOLUTIONS

  • AI Agency

E. TESTING TECHNIQUES FOR AI SOLUTIONS

  • Conventional Software Testing Techniques Applied to AI Solutions
  • AI-Specific Testing Techniques

F. THREATS AND VULNERABILITIES SPECIFIC TO AI

  • Types of AI-Related Threats
  • Controls for AI-Related Threats

G. INCIDENT RESPONSE MANAGEMENT SPECIFIC TO AI

  • Prepare
  • Identify and Report
  • Assess
  • Respond
  • Post-Incident Review
 46%
AI AUDITING TOOLS AND TECHNIQUES This domain focuses on optimizing audit outcomes through innovation and highlights your knowledge of audit techniques tailored to AI systems and the use of AI-enabled tools streamline audit efficiency and provide faster, quality insight.

A. AUDIT PLANNING AND DESIGN
  • Identification of AI Assets
  • Types of AI Controls
  • AI Audit Use Cases
  • Internal Training for AI Use

B. AUDIT TESTING AND SAMPLING METHODOLOGIES

  • Designing an AI Audit
  • AI Audit Testing Methodologies
  • AI Sampling
  • Testing AI Outcomes
  • Sample AI Audit Process

C. AUDIT EVIDENCE COLLECTION TECHNIQUES

  • Data Collection
  • Walkthroughs and Interviews
  • AI Collection Tools

D. AUDIT DATA QUALITY AND DATA ANALYTICS

  • Data Quality
  • Data Analytics
  • Data Reporting

E. AI AUDIT OUTPUTS AND REPORTS

  • Reports
  • Audit Follow-up
  • Quality Assurance
 21%

To ensure success in ISACA Advanced Audit-Specific Artificial Intelligence certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for ISACA Advanced in AI Audit (AAIA) exam.

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