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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.

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ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q31-Q36):

NEW QUESTION # 31
A financial organization is concerned about the risk of prompt injection attacks on its customer service chatbot. Which of the following controls BEST addresses this concern?

Answer: C

Explanation:
AAISM describes prompt injection as an attack where adversaries craft inputs that manipulate model behavior or override system instructions. The recommended control pattern is to implement robust input validation and constraint mechanisms that sanitize and structure user inputs before they are processed by the model. The guidance includes techniques such as template-based prompts, restricted instruction sets, and validation rules to filter malicious or out-of-scope content. Human-in-the-loop (A) provides oversight but may not scale and is not a primary technical protection. Increasing model parameters (C) relates to capacity and performance, not security. Continuous monitoring (D) is important for detection but does not prevent prompt injection at the point of entry. Therefore, input validation, combined with controlled prompt construction, is identified as the best direct control against prompt injection attacks in customer-facing chatbots.
References: AI Security Management™ (AAISM) Study Guide - AI Threats and Attack Vectors; Prompt Injection and Input Control Mechanisms.


NEW QUESTION # 32
A financial organization relies on AI-based identity verification and fraud detection services. Which of the following BEST integrates AI security risk into the business continuity plan (BCP)?

Answer: D

Explanation:
AAISM stresses that AI systems and their supporting infrastructure must be explicitly included in disaster recovery and continuity planning, since disruptions to models, feature stores, or pipelines can halt critical business functions.
Explainability (A) and retraining (B) are operational improvements, not continuity mechanisms. Multi-zone redundancy (D) improves availability but does not represent complete BCP integration.
References: AAISM Study Guide - AI Business Continuity and Resilience Requirements.


NEW QUESTION # 33
Which of the following BEST enables an organization to maintain visibility to its AI usage?

Answer: D

Explanation:
The AAISM framework stresses that the most effective way to maintain oversight of organizational AI usage is by maintaining a comprehensive inventory of all AI systems and the business units using them. Such an inventory provides a centralized, transparent record of where AI is deployed, ensuring accountability, monitoring, and compliance. While board approval, dashboards, and KPIs are important governance tools, they do not provide holistic visibility across the enterprise. The inventory ensures traceability and governance alignment, making it the best method to maintain visibility of AI usage.
References:
AAISM Study Guide - AI Governance and Program Management (AI Inventories) ISACA AI Security Management - Centralized Oversight of AI Assets


NEW QUESTION # 34
A regulator warns of increased risk of AI re-identification attacks on anonymized datasets. What should the information security manager do FIRST?

Answer: C

Explanation:
AAISM states that anonymization is not permanent and may be reversible through re-identification attacks.
The first action should be to evaluate and measure the actual privacy risk through:
* adversarial re-identification testing
* privacy audits
* monitoring for misuse
This provides the factual basis needed before making destructive or operational decisions.
Access control (D) is important but not the FIRST step. Deleting datasets (B) is premature. Assuming anonymization is permanent (A) violates AI privacy principles.
References: AAISM Study Guide - Privacy Risk, Re-Identification Threats, Adversarial Testing.


NEW QUESTION # 35
An organization has requested a developer to apply AI algorithms to existing modules in order to improve customer service quality. At this stage, which of the following should be considered FIRST?

Answer: D

Explanation:
According to AAISM governance principles, when AI functionality is added to existing services, the first consideration is contractual and service-level accountability. If AI outputs cannot be predefined, the existing service agreements may no longer reflect performance responsibilities or liability. Revising or updating the agreement ensures governance alignment, accountability, and risk management for AI-driven behavior.
Phased approaches and performance explanations are valuable but occur later in project management.
Developer accountability for customer inquiries is not a primary governance step. The most immediate consideration is revising service agreements when AI introduces new uncertainties.
References:
AAISM Exam Content Outline - AI Governance and Program Management (Policies and Service Agreements) AI Security Management Study Guide - Accountability in AI Deployments


NEW QUESTION # 36
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