AAISM試験解説 & AAISM問題と解答

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ISACA AAISM Exam Overview:

Certification Vendor:ISACA
Exam Name:ISACA Advanced in AI Security Management (AAISM) Exam
Exam Number:AAISM
Certificate Validity Period:3 years
Passing Score:450/800
Related Certifications:ISACA Advanced in AI Security Management (AAISM)
Exam Duration:150 minutes
Exam Price:USD $399
Real Exam Qty:90
Exam Format:Multiple Choice, Scenario-based Questions
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

>> AAISM試験解説 <<

AAISM問題と解答 & AAISM問題集

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ISACA AAISM 認定試験の出題範囲：

トピック出題範囲
トピック 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.
トピック 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.
トピック 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 Advanced in AI Security Management (AAISM) Exam 認定 AAISM 試験問題 (Q209-Q214):

質問 # 209
After implementing generative AI tools, an organization was notified of new critical compliance requirements aimed at verifying how AI is being used. Which of the following should be done FIRST?

正解：B

解説：
Establishing a responsible use policy provides the foundational governance framework that defines how AI should be used in alignment with compliance requirements, enabling subsequent controls, reviews, and reporting to be properly structured.


質問 # 210
A model producing contradictory outputs based on highly similar inputs MOST likely indicates the presence of:

正解：D

解説：
The AAISM study framework describes evasion attacks as attempts to manipulate or probe a trained model during inference by using crafted inputs that appear normal but cause the system to generate inconsistent or erroneous outputs. Contradictory results from nearly identical queries are a typical symptom of evasion, as the attacker is probing decision boundaries to find weaknesses. Poisoning attacks occur during training, not inference, while membership inference relates to exposing whether data was part of the training set, and model exfiltration involves extracting proprietary parameters or architecture. The clearest indication of contradictory outputs from similar queries therefore aligns directly with the definition of evasion attacks in AAISM materials.


質問 # 211
Which of the following would BEST help to prevent the compromise of a facial recognition AI system through the use of alterations in facial appearance?

正解：C

解説：
AAISM materials note that adversaries may attempt to bypass facial recognition by disguising or altering appearance. The most effective mitigation is to enhance training data with a wide range of variances in facial features, lighting, and disguises so the system can robustly detect authentic users despite adversarial attempts.
Monitoring and secondary confirmation are supportive controls but are reactive. Fine-tuning to reduce hallucinations is irrelevant in this context, as hallucinations apply more to generative AI. The best preventive measure is strengthening the model with diverse, variance-rich training data.
References:
AAISM Study Guide - AI Technologies and Controls (Robust Training Data Strategies) ISACA AI Security Management - Biometric AI Security Risks


質問 # 212
A large organization has appointed the CISO to form an AI steering committee. Which of the following should be the CISO's FIRST course of action?

正解：D

解説：
The first step in establishing effective AI governance is identifying the types of AI currently in use across the organization. Understanding existing AI systems, use cases, and exposure is necessary before selecting frameworks, benchmarking, or conducting meaningful gap analyses.


質問 # 213
A CISO learns that a video showing an unverified safety issue with the organization's key product has gone viral. The individual in the video often appears to be blurry, and the video contains random lower-quality sections throughout. Which type of threat is this MOST likely an example of?

正解：C

解説：
AAISM defines deepfakes as manipulated media where individuals appear in synthetic or altered video/audio. Indicators include:
- blurred or inconsistent facial rendering
- mismatched frames
- low-quality or distorted transitions
These characteristics match the scenario provided.


質問 # 214
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