ISACA AAISM인기덤프 & AAISM시험대비인증덤프

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ISACA AAISM Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI Governance and Program Management	31%	- Frameworks and Compliance 1. Industry frameworks and standards (e.g., NIST AI RMF, ISO/IEC 42001) 2. Regulatory requirements 3. Privacy and ethics considerations - AI Governance Foundations 1. Roles and responsibilities 2. Stakeholder considerations 3. Organizational structure and governance - AI Strategy and Policy 1. Responsible and acceptable use 2. AI strategy development 3. Policies and procedures
Topic 2: AI Technologies and Controls	38%	- AI Security Architecture 1. Secure AI system design 2. Model lifecycle security - AI Assurance and Safety 1. Bias mitigation 2. Model validation and testing 3. Ethical AI controls - Data and Model Controls 1. Data protection and governance 2. Monitoring and runtime controls 3. Privacy-preserving techniques
Topic 3: AI Risk Management	31%	- AI Threats and Vulnerabilities 1. Data poisoning and model manipulation 2. Adversarial AI and ML attacks 3. Supply chain and vendor risks - AI Risk Assessment 1. Risk thresholds and treatment 2. Risk identification and analysis

Section

Weight

Objectives

Topic 1: AI Governance and Program Management

31%

- Frameworks and Compliance

1. Industry frameworks and standards (e.g., NIST AI RMF, ISO/IEC 42001)
2. Regulatory requirements
3. Privacy and ethics considerations

- AI Governance Foundations

1. Roles and responsibilities
2. Stakeholder considerations
3. Organizational structure and governance

- AI Strategy and Policy

1. Responsible and acceptable use
2. AI strategy development
3. Policies and procedures

Topic 2: AI Technologies and Controls

38%

- AI Security Architecture

1. Secure AI system design
2. Model lifecycle security

- AI Assurance and Safety

1. Bias mitigation
2. Model validation and testing
3. Ethical AI controls

- Data and Model Controls

1. Data protection and governance
2. Monitoring and runtime controls
3. Privacy-preserving techniques

Topic 3: AI Risk Management

31%

- AI Threats and Vulnerabilities

1. Data poisoning and model manipulation
2. Adversarial AI and ML attacks
3. Supply chain and vendor risks

- AI Risk Assessment

1. Risk thresholds and treatment
2. Risk identification and analysis

>> ISACA AAISM인기덤프 <<

AAISM시험대비 인증덤프 & AAISM시험대비 덤프데모문제 다운

Fast2test는 IT인증시험 자격증 공부자료를 제공해드리는 전문적인 사이트입니다. Fast2test제품은 100%통과율을 자랑하고 있습니다. ISACA인증 AAISM시험이 어려워 자격증 취득을 망설이는 분들이 많습니다. Fast2test가 있으면 이런 걱정은 하지 않으셔도 됩니다. Fast2test의ISACA인증 AAISM덤프로 시험을 한방에 통과하여 승진이나 연봉인상에 도움되는 자격증을 취득합시다.

최신 ISACA AAISM Certification AAISM 무료샘플문제 (Q249-Q254):

질문 # 249
An AI security manager is tasked with establishing key risk indicators (KRIs) to effectively monitor the security posture of a newly deployed generative AI system. Which of the following should be the PRIMARY focus of these KRIs?

A. Anonymization and de-identification protocols for AI training datasets
B. Compliance with existing AI governance standards and guidelines
C. Frequency of external AI security audits and reviews
D. Identification of vulnerabilities and control gaps unique to AI systems

정답：D

설명：
KRIs should focus on identifying and tracking risks that directly affect the system's security posture. For generative AI, this means monitoring vulnerabilities and control gaps specific to AI components, such as prompt injection, data leakage, or model abuse, which are critical to managing ongoing risk.

질문 # 250
Which of the following should be the PRIMARY objective of implementing differential privacy techniques in AI models leveraging fraud detection systems?

A. Enhancing the accuracy of predictions to desired levels
B. Increasing model training speed for an efficient launch
C. Reducing computational resources required for the model training phase
D. Protecting individual data contributions while allowing statistical analysis

정답：D

설명：
Differential privacy aims to protect the privacy of any single individual's data contribution while still enabling useful aggregate learning and statistical analysis. Noise mechanisms are calibrated so that results remain informative for modeling (e.g., fraud patterns) without revealing whether any particular person's data was included or enabling inference about them. Accuracy, speed, and compute efficiency can be secondary considerations, but the primary objective is privacy protection with utility preserved.
References: AI Security Management™ (AAISM) Body of Knowledge: Privacy-Preserving ML; Differential Privacy Objectives and Mechanisms. AAISM Study Guide: Individual Contribution Protection; Utility- Privacy Trade-offs and Calibration in Applied Models.

질문 # 251
An organization deploys a large language model (LLM) to automate legal document analysis.
Which of the following is MOST critical before model deployment?

A. Implementing input filtering controls on uploaded contracts
B. Verifying the model's dataset remains static during its operational lifespan
C. Preventing unauthorized access to the model documentation by external entities
D. Conducting testing of model outputs to validate expected behavior

정답：D

설명：
Before deployment, it is most critical to validate that the model produces accurate, reliable, and expected outputs for legal document analysis. Testing model behavior helps identify errors, inconsistencies, hallucinations, or unsafe outcomes that could create significant legal and operational risks.

질문 # 252
To ensure the ethical and responsible use of AI, which of the following AI usage policy metrics is MOST important for an organization to monitor?

A. Number of AI projects that have undergone policy compliance review
B. Frequency of policy reviews and updates
C. Frequency of policy consultations by employees
D. Number of reported policy violations

정답：A

설명：
AAISM emphasizes governance effectiveness metrics tied to real lifecycle checkpoints. The count (and percentage) of AI projects that completed policy compliance review before deployment is a leading indicator of policy enforcement and assurance. It directly reflects whether responsible-AI requirements (risk assessment, impact assessment, data/privacy checks, security controls) are embedded in practice. Consult frequency (A) and review cadence (D) are activity metrics, not outcomes. Reported violations (B) are lagging indicators and can be deceptive (low numbers may indicate under-reporting).
References:* AI Security Management™ (AAISM) Body of Knowledge: Program KPIs-policy adoption, stage-gate compliance, audit readiness* AAISM Study Guide: Governance metrics for Responsible AI- coverage of reviews, pass/fail rates, exceptions handling

질문 # 253
Which of the following is the MOST effective way to identify and address security risk in an AI model?

A. Encrypt the training data and model parameters to prevent unauthorized access
B. Conduct threat modeling to identify vulnerabilities and possible attack methods
C. Assign staff to review AI model outputs for accuracy
D. Add more data to the model to increase its accuracy and reduce errors

정답：B

설명：
AI/ML threat modeling is the most effective structured method to both identify and address model security risks. It systematically surfaces attack classes (poisoning, evasion, membership inference, model extraction, inversion), maps system-specific attack surfaces (data pipelines, feature stores, training artifacts, inference APIs), and drives prioritized mitigations (ingestion validation, robust training, rate-limiting, watermarking, differential privacy, monitoring, red teaming). Output spot-checking (A) finds errors but not security vulnerabilities; encryption (C) protects confidentiality but does not reveal threats or mitigate inference-time attacks; adding data (D) may improve accuracy but does not target adversarial risk.
References: AI Security Management (AAISM) Body of Knowledge - AI Risk Identification & Threat Modeling; Attack Surface Analysis for ML; Risk Treatment Planning. AAISM Study Guide - Evasion
/Poisoning/Extraction Controls; Mapping Risks to Controls; Validation and Assurance Activities.

질문 # 254
......

Fast2test의 ISACA인증 AAISM덤프는 다른 덤프판매 사이트보다 저렴한 가격으로 여러분들께 가볍게 다가갑니다. ISACA인증 AAISM덤프는 기출문제와 예상문제로 되어있어 시험패스는 시간문제뿐입니다.

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