ISACA AAISM시험유형, AAISM최고품질덤프자료

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ISACA AAISM 시험요강:

주제	소개
주제 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.
주제 2	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.
주제 3	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.

>> ISACA AAISM시험유형 <<

시험패스에 유효한 AAISM시험유형 인증시험정보

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최신 ISACA AAISM Certification AAISM 무료샘플문제 (Q360-Q365):

질문 # 360
An organization is facing a deepfake attack intended to manipulate stock prices. The organization's crisis communication plan has been activated. Which of the following is MOST important to include in the initial response?

A. Engage with brand monitoring services to track social media activity
B. Conduct employee awareness training on recognizing deepfake videos and audio
C. Conduct a detailed forensic analysis to identify the source of the deepfake
D. Provide clarifying information in a pre-approved public statement

정답：D

설명：
AAISM guidance on crisis management and communication emphasizes that the initial priority in responding to a reputational or market manipulation attack is to provide accurate clarifying information to the public through a pre-approved statement. This ensures stakeholders and markets are given verified facts immediately, limiting the spread of misinformation. While forensic analysis, employee training, and monitoring activities are important, they occur after the immediate need for public trust and damage control is addressed. Pre-approved statements are a central control in AI-related incident response to ensure consistency, timeliness, and credibility in communications.
References:
AAISM Study Guide - AI Governance and Program Management (Incident Response and Crisis Communication) ISACA AI Security Management - Public Communication and Trust Preservation

질문 # 361
An AI system that supports critical processes has deviated from expected performance and is producing biased outcomes. Which of the following is the BEST course of action?

A. Retrain the model with a new and expanded dataset
B. Activate the model kill switch
C. Perform a root cause analysis to identify mitigation steps
D. Conduct audits of the data and the model

정답：C

설명：
AAISM directs that when harmful or biased behavior is observed in a production AI system, the organization should enter a formal incident/variance handling workflow that begins with root cause analysis (RCA) to identify the source of deviation (data drift, concept drift, feature leakage, pipeline changes, control failures) and determine proportionate risk treatments.

질문 # 362
An attack has occurred on an AI system that has been in use for two years. Which of the following would BEST mitigate the impact of the attack?

A. Replacing the AI model with a new model that hides confidence levels
B. Regularly monitoring AI systems for suspicious activities
C. Updating deployed training data with new adversarial data
D. Implementing strict access controls to the model's architecture

정답：C

설명：
When an AI system experiences an attack after being in production for an extended period, the most effective mitigation strategy is to update the deployed training data with new adversarial data. This process strengthens the model's resilience by retraining it to recognize and resist attack vectors that were previously unknown or unaccounted for. According to the AI Security ManagementTM (AAISM) framework, risk mitigation for AI systems must address model robustness through adversarial retraining, data quality improvement, and model lifecycle hardening rather than relying solely on reactive measures.

질문 # 363
An organization's CIO provided the AI steering committee with a list of AI technologies in use and tasked them with categorizing the technologies by risk. Which of the following should the committee do FIRST?

A. Identify vulnerabilities related to the technologies in use
B. Ensure the AI technologies are included in the asset inventory
C. Assess risk levels based on risk appetite and regulatory requirements
D. Begin grouping similar AI products and solutions together

정답：B

설명：
AAISM governance practices state that before categorizing technologies by risk, the first step is to ensure that all AI systems are documented in the organizational asset inventory. A complete inventory provides the foundation for subsequent risk analysis, accountability, and governance. Grouping solutions, identifying vulnerabilities, and assessing risk levels come afterward, once inventory accuracy is established. Without confirming that the technologies are recorded in the inventory, risk categorization may miss critical assets.
References:
AAISM Study Guide - AI Governance and Program Management (AI Inventories as a Prerequisite to Risk Analysis) ISACA AI Security Management - Asset Visibility and Risk Categorization

질문 # 364
Which of the following is the BEST mitigation control for membership inference attacks on AI systems?

A. AI threat modeling
B. Cybersecurity-oriented red teaming
C. Differential privacy
D. Model ensemble techniques

정답：C

설명：
Membership inference attacks attempt to determine whether a particular data point was part of a model's training set, which risks violating privacy. The AAISM study guide highlights differential privacy as the most effective mitigation because it introduces mathematical noise that obscures individual contributions without significantly degrading model performance. Ensemble methods improve robustness but do not specifically protect privacy. Threat modeling and red teaming help identify risks but are not direct controls. The explicit mitigation control aligned with privacy preservation for membership inference is differential privacy.

질문 # 365
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