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ISACA AAISM Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Risk Management31%- AI risk assessment and treatment
  • 1. Risk identification and analysis
  • 2. Risk thresholds and mitigation
- Third-party and supply chain risk management
  • 1. Vendor risk evaluation
  • 2. Supply chain security controls
- AI threat and vulnerability management
  • 1. Threat modeling for AI systems
  • 2. AI vulnerability assessment
Topic 2: AI Technologies and Controls38%- Data management and privacy controls
  • 1. Data integrity and protection
  • 2. Privacy and ethical AI controls
- Trust, safety and compliance controls
  • 1. Responsible AI practices
  • 2. Compliance and governance validation
- AI security architecture and design
  • 1. AI infrastructure protection
  • 2. Secure AI system architecture
- AI security monitoring and operations
  • 1. Security monitoring and logging
  • 2. Operational AI controls
Topic 3: AI Governance and Program Management31%- AI policies and procedures
  • 1. Policy implementation and compliance
  • 2. AI-related strategy development
- AI asset and data lifecycle management
  • 1. AI asset inventory and management
  • 2. Data governance
- AI security program management
  • 1. Incident response and business continuity
  • 2. Program development and maintenance
- Stakeholder considerations and governance frameworks
  • 1. Industry frameworks and regulatory requirements
  • 2. AI governance models and oversight

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ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q308-Q313):

NEW QUESTION # 308
When designing self-driving vehicles, conformity assessment is PRIMARILY needed to:

Answer: B

Explanation:
Conformity assessment is primarily conducted to evaluate whether an AI system complies with applicable regulations, standards, and governance frameworks. For self-driving vehicles, this is critical because they are high-risk AI systems subject to strict regulatory and safety requirements.


NEW QUESTION # 309
A vendor switched its chatbot's AI model without due diligence, causing unethical investment advice. What control BEST prevents this scenario?

Answer: C

Explanation:
AAISM stresses AI-specific change management as essential for vendor-driven or system-driven updates.
Proper change control includes:
* impact assessments
* ethical review
* risk evaluation
* approval checkpoints
* rollback plans
An MSA (A) supports contracts but does not manage operational change. Shared responsibility (C) describes roles, not change control. Data minimization (D) reduces exposure but doesn't control model updates.
References: AAISM Study Guide - AI Change Management; Vendor Model Update Controls.


NEW QUESTION # 310
An organization is implementing a large language model (LLM) to answer questions for both employees and customers. The CIO wants the LLM to provide employees with additional internal data that should not be shared with customers. Which of the following is the MOST secure approach?

Answer: C

Explanation:
Retrieval-augmented generation (RAG) combined with access control lists (ACLs) ensures that the LLM retrieves and exposes only the data each user is authorized to access. This approach provides granular, role-based protection of internal information while supporting different data visibility requirements for employees and customers.


NEW QUESTION # 311
Which of the following attacks has the PRIMARY objective of compromising the confidentiality and privacy of information used in an AI system?

Answer: C

Explanation:
Model inversion aims to reconstruct or infer sensitive information from the model's training data, directly compromising confidentiality and privacy.


NEW QUESTION # 312
Which of the following BEST describes the role of transparency in AI?

Answer: D

Explanation:
Transparency in AI is a governance principle requiring that systems be explainable to stakeholders in ways that are understandable and meaningful, enabling clear articulation of how decisions were reached and why. Within an AI program, transparency supports accountability, auditability, and trust by ensuring that reasons for decisions can be communicated and scrutinized. Option C reflects this definition by focusing on intelligible, logical explanations of system behavior and decision rationale.


NEW QUESTION # 313
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