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ISACA AAIR Exam Overview:
| Certification Vendor: | ISACA |
| Exam Name: | ISACA Advanced in AI Risk (AAIR) Certification Exam |
| Exam Number: | AAIR |
| Real Exam Qty: | 90 |
| Exam Format: | Multiple-choice, Computer-based testing, Proctored exam (test center or remote where available) |
| Available Languages: | English, Spanish, Chinese (Simplified) |
| Exam Duration: | 150 minutes |
| Related Certifications: | CISA CISM CRISC CGEIT CDPSE CISSP CRMA CGRC |
| Exam Price: | USD 459 (member) / USD 599 (non-member) |
| Recommended Training: | AAIR QAE Practice Database (ISACA Learning Resources) AAIR Virtual Workshop (ISACA Training) AAIR Online Review Course (ISACA) |
| Exam Registration: | ISACA Certification Registration (MyISACA portal) ISACA AAIR Official Certification Page |
| Sample Questions: | ISACA AAIR Sample Questions |
| Exam Way: | Computer-based exam via PSI testing centers or remote proctoring (availability varies by region; some regions require test center only). |
| Pre Condition: | Candidates must hold one of ISACA or equivalent recognized certifications such as CISA, CISM, CRISC, CGEIT, CDPSE, CISSP, CRMA, CGRC, or other approved risk/security/audit designations, and have relevant IT risk or advisory experience. |
| Official Syllabus URL: | https://www.isaca.org/credentialing/aair |
ISACA AAIR Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Risk Program Management | 42% | - AI governance communication and reporting - Enterprise AI risk program design - AI risk monitoring and continuous improvement - AI risk assessment and treatment strategies |
| AI Life Cycle Risk Management | - AI model and data risk identification - AI bias, drift, transparency, and control evaluation - AI development, deployment, and monitoring risks | |
| AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Ownership, Oversight, and Accountability - AI Models, Frameworks, Strategies, and Use Cases |
ISACA Advanced in AI Risk Sample Questions:
1. AI tools can BEST help to mitigate supply chain risk by:
A) enhancing predictive capabilities to identify potential disruptions.
B) performing sentiment analysis on supplier reputation and reviews.
C) automating routine inventory management tasks.
D) identifying historical physical and logical security control gaps.
2. Which of the following is the BEST way to integrate AI risk management into operational procedures?
A) Require organization-wide training on AI legal and regulatory requirements.
B) Require AI risk committee approval for changes involving automation of manual tasks.
C) Introduce AI risk assessment stages throughout the development and deployment process.
D) Engage regular third-party audits of AI process and workflow documentation.
3. An organization has deployed an AI system to automate critical data analysis functions. Which of the following is the MOST appropriate way for the risk practitioner to assess the multiple sources of risk associated with this situation?
A) Quantify the financial impact of competitors' realized risk events on AI initiatives.
B) Rate each risk factor independently as a basis for ordering mitigation actions.
C) Document the exploitable technical limitations of all AI system components.
D) Prioritize the risk factors most likely to generate substantial harm.
4. An organization plans to deploy a generative AI system that processes sensitive personal data across multiple countries with varying privacy laws. Which of the following is the BEST course of action to manage legal and regulatory exposure?
A) Adopt uniform global policies and implement strong encryption of personal data for all cross-border transfers.
B) Remediate regulatory gaps in each jurisdiction through iterative post-deployment updates and model retraining.
C) Tailor organizational controls to relevant statutory requirements and preserve audit trails to prove adherence.
D) Prioritize protection of intellectual property and restrict disclosure of model operations to safeguard assets.
5. An organization depends on multiple external suppliers for AI models and training datasets. Which of the following is MOST important to have in place in order to reduce supply chain risk?
A) Appointment of a vendor risk manager with AI expertise to serve as a single point of contact
B) Verifiable end-to-end provenance and audit trails for externally sourced artifacts
C) Requirement for vendors to provide documentation of model training methods used
D) Standard indemnity clauses in vendor contracts to assign liability responsibilities
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: B |
By Doris
