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ISACA AAISM Exam Overview:

Certification Vendor:ISACA
Exam Name:ISACA Advanced in AI Security Management (AAISM) Exam
Exam Number:AAISM
Related Certifications:ISACA Advanced in AI Security Management (AAISM)
Real Exam Qty:90
Exam Price:USD $399
Certificate Validity Period:3 years
Passing Score:450/800
Exam Format:Scenario-based Questions, Multiple Choice
Exam Duration:150 minutes
Available Languages:English, Spanish
Sample Questions:ISACA AAISM Sample Questions
Exam Way:Online remote proctored exam or test center exam
Pre Condition:Candidates must hold an active CISM or CISSP certification.
Official Syllabus URL:https://www.isaca.org/credentialing/aaism/aaism-exam-content-outline

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ISACA AAISM Exam Syllabus Topics:

TopicDetails
Topic 1
  • AI Technologies and Controls: This section of the exam measures the expertise of AI Security Architects and assesses knowledge in designing secure AI architecture and controls. It addresses privacy, ethical, and trust concerns, data management controls, monitoring mechanisms, and security control implementation tailored to AI systems.
Topic 2
  • AI Risk Management: This section of the exam measures the skills of AI Risk Managers and covers assessing enterprise threats, vulnerabilities, and supply chain risk associated with AI adoption, including risk treatment plans and vendor oversight.
Topic 3
  • AI Governance and Program Management: This section of the exam measures the abilities of AI Security Governance Professionals and focuses on advising stakeholders in implementing AI security through governance frameworks, policy creation, data lifecycle management, program development, and incident response protocols.

ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q179-Q184):

NEW QUESTION # 179
Which AI model is BEST suited to ensure explainability in an HR department's pre-screening tool for candidate resumes?

Answer: A

Explanation:
According to AAISM, decision trees provide the highest explainability because their structure clearly shows how inputs map to decisions. This is essential in HR applications subject to fairness, bias, and compliance requirements.


NEW QUESTION # 180
Which of the following mitigation control strategies would BEST reduce the risk of introducing hidden backdoors during model fine-tuning via third-party components?

Answer: B

Explanation:
The most effective way to reduce the risk of hidden backdoors entering during fine-tuning via third-party components is to apply supply-chain aware threat modeling and integrity verification across data, code, models, and dependencies. This includes SBOM/MBOM review, cryptographic signing and hash verification, controlled provenance of datasets and model weights, dependency pinning, secure artifact repositories, and pre-deployment security testing (including backdoor scans and evals). Merely preferring open-source (Option B) does not guarantee integrity; learning paradigm changes (Option C) are unrelated to supply-chain risk; and disabling logs (Option D) reduces forensic visibility and increases risk.
References:
AAISM Body of Knowledge: Secure AI Supply Chain; Model Provenance, Integrity and SBOM/MBOM Controls; Pre-deployment Security Testing and Backdoor/Poisoning Evals.
AAISM Study Guide: AI Threat Modeling (Attack Surfaces in Training/Fine-tuning); Third-Party/Vendor Component Assurance; Cryptographic Integrity and Artifact Governance.


NEW QUESTION # 181
Which of the following BEST strengthens information security controls around the use of generative AI applications?

Answer: B

Explanation:
AAISM identifies continuous monitoring of AI outputs--especially generative outputs--as the most effective security control, ensuring that violations, unsafe responses, data leakage, and policy- breaking behavior are detected and corrected.


NEW QUESTION # 182
When evaluating a new AI tool for intrusion prevention, which is MOST important to ensure fit within the existing program architecture?

Answer: C

Explanation:
AAISM stresses that AI tools must align with the organization's existing control objectives and governance requirements, ensuring consistency with risk management, detection philosophy, and operational processes.


NEW QUESTION # 183
Who is responsible for implementing recommendations in a final report after an external AI compliance audit?

Answer: B

Explanation:
AAISM clarifies that model owners hold responsibility for ensuring corrective actions are implemented after AI audits. They are accountable for:
* model behavior
* compliance gaps
* security improvements
* governance alignment
Internal auditors (B) perform assessments but do not implement changes. System architects (A) support technical fixes but do not own compliance. End users (C) are not responsible for audit remediation.
References: AAISM Study Guide - Roles & Responsibilities; AI Ownership and Accountability.


NEW QUESTION # 184
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