ISACA AAISM Exam Details & Actual Exam Questions

  • Exam Code/Number: AAISM
  • Exam Name/Title: ISACA Advanced in AI Security Management (AAISM) Exam
  • Certification Provider: ISACA
  • Corresponding Certification: ISACA AAISM Certification
  • Exam Questions: 432
  • Updated On: Aug,11 2026
  • Certification Level: Professional

ISACA Advanced in AI Security Management (AAISM) Exam Questions

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ISACA AAISM Exam Overview:

Certification Vendor:ISACA
Exam Name:Advanced in AI Security Management (AAISM) Exam
Exam Number:AAISM
Certificate Validity Period:3 years (continuing professional education required for renewal)
Available Languages:English, Spanish
Related Certifications:CISM
CISSP
Exam Duration:150 minutes
Exam Format:Multiple-choice questions
Exam Price:USD 459 (member) / USD 599 (non-member)
Passing Score:450/800
Real Exam Qty:90
Recommended Training:ISACA Official Training & Review Materials
Exam Registration:ISACA AAISM Credentialing Page
Sample Questions:ISACA AAISM Sample Questions
Exam Way:Computer-based exam (online proctored or authorized test center)
Pre Condition:Recommended: Active CISM or CISSP certification and experience in IT/security management or advisory roles
Official Syllabus URL:https://www.isaca.org/credentialing/aaism

ISACA AAISM Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Risk Management31%- AI Threats and Vulnerabilities
  • 1. Supply chain and vendor risks
    • 2. Adversarial AI and ML attacks
      • 3. Data poisoning and model manipulation
        - AI Risk Assessment
        • 1. Risk identification and analysis
          • 2. Risk thresholds and treatment
            Topic 2: AI Technologies and Controls38%- Data and Model Controls
            • 1. Monitoring and runtime controls
              • 2. Privacy-preserving techniques
                • 3. Data protection and governance
                  - AI Assurance and Safety
                  • 1. Model validation and testing
                    • 2. Ethical AI controls
                      • 3. Bias mitigation
                        - AI Security Architecture
                        • 1. Model lifecycle security
                          • 2. Secure AI system design
                            Topic 3: AI Governance and Program Management31%- AI Governance Foundations
                            • 1. Organizational structure and governance
                              • 2. Roles and responsibilities
                                • 3. Stakeholder considerations
                                  - Frameworks and Compliance
                                  • 1. Regulatory requirements
                                    • 2. Industry frameworks and standards (e.g., NIST AI RMF, ISO/IEC 42001)
                                      • 3. Privacy and ethics considerations
                                        - AI Strategy and Policy
                                        • 1. Responsible and acceptable use
                                          • 2. Policies and procedures
                                            • 3. AI strategy development


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