AAISM시험대비자료퍼펙트한덤프로시험패스하여자격증을취득하기

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ISACA AAISM Exam Syllabus Topics:

SectionWeightObjectives
AI Risk Management31%- AI Threats and Vulnerabilities
  • 1. Supply chain and vendor risks
    • 2. Adversarial AI and ML attacks
      • 3. Data poisoning and model manipulation
        - AI Risk Assessment
        • 1. Risk identification and analysis
          • 2. Risk thresholds and treatment
            AI Technologies and Controls38%- AI Security Architecture
            • 1. Secure AI system design
              • 2. Model lifecycle security
                - AI Assurance and Safety
                • 1. Bias mitigation
                  • 2. Ethical AI controls
                    • 3. Model validation and testing
                      - Data and Model Controls
                      • 1. Data protection and governance
                        • 2. Monitoring and runtime controls
                          • 3. Privacy-preserving techniques
                            AI Governance and Program Management31%- AI Governance Foundations
                            • 1. Roles and responsibilities
                              • 2. Stakeholder considerations
                                • 3. Organizational structure and governance
                                  - 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 Strategy and Policy
                                        • 1. AI strategy development
                                          • 2. Responsible and acceptable use
                                            • 3. Policies and procedures

                                              >> AAISM시험대비자료 <<

                                              ISACA AAISM시험응시료, AAISM유효한 시험자료

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                                              최신 ISACA AAISM Certification AAISM 무료샘플문제 (Q172-Q177):

                                              질문 # 172
                                              Which of the following is the BEST way to reduce the risk of misuse of an AI agent that has access to critical data and systems?

                                              정답：A

                                              설명：
                                              AAISM frameworks highlight output-based controls, including output filtering, restriction validation, and policy-aligned guardrails as primary defenses for AI agents with high privileges. Ensuring the agent does not output unauthorized instructions or sensitive data directly mitigates misuse.
                                              Allowing user configuration (B) increases risk. Prohibiting manipulation entirely (C) is impractical. Reducing human oversight (D) increases system abuse potential.
                                              References: AAISM Study Guide - AI Agents, Output Controls, and Guardrails.


                                              질문 # 173
                                              Which of the following is the MOST critical key risk indicator (KRI) for an AI system?

                                              정답：B

                                              설명：
                                              AAISM highlights that while accuracy and performance metrics are important, the rate of drift is the most critical KRI for AI systems. Model drift occurs when input data or environmental conditions shift, causing the system to degrade and produce unreliable outputs. This risk indicator directly reflects whether the AI continues to function as intended over time. Accuracy rates and response times are performance metrics, not primary risk signals. The amount of data in the model does not reliably indicate exposure to risk. Therefore, the greatest KRI for ongoing assurance and governance is the rate of drift.
                                              References:
                                              AAISM Study Guide - AI Risk Management (Monitoring and Drift Detection) ISACA AI Security Management - Key Risk Indicators for AI Systems


                                              질문 # 174
                                              Which of the following is the BEST approach for minimizing risk when integrating acceptable use policies for AI foundation models into business operations?

                                              정답：A

                                              설명：
                                              The AAISM guidance defines risk minimization for AI deployment as requiring a formalized AI model life cycle policy and associated procedures. This ensures oversight from design to deployment, covering data handling, bias testing, monitoring, retraining, decommissioning, and acceptable use. Limiting usage to developer-defined scenarios or relying on vendor mechanisms transfers responsibility away from the organization and fails to meet governance expectations.
                                              Training and awareness support cultural alignment but cannot substitute for structured lifecycle controls. Therefore, the establishment of a documented lifecycle policy and procedures is the most comprehensive way to minimize operational, compliance, and ethical risks in integrating foundation models.


                                              질문 # 175
                                              A hospital is conducting an AI impact assessment for a proposed diagnostic imaging tool. To ensure conformity with regulatory and ethical standards, which risk requires the MOST domain- specific assessment beyond what is typically found in a standard IT risk assessment?

                                              정답：B

                                              설명：
                                              Bias in diagnostic outputs directly affects clinical decision-making and patient outcomes, requiring specialized medical, ethical, and regulatory expertise beyond standard IT risk assessments. This type of risk involves domain-specific evaluation of fairness, safety, and potential harm to patients.


                                              질문 # 176
                                              When using AI as part of incident response, which of the following BEST ensures the automation aligns with regulatory and governance obligations?

                                              정답：D

                                              설명：
                                              AAISM prescribes risk-based, human-in-the-loop orchestration for safety-critical or regulated actions. A tiered automation strategy that gates autonomy by incident severity, data sensitivity, and regulatory requirements ensures accountability, auditability, and proportionality, satisfying governance obligations. Full autonomy (A) risks non-compliance; simply mirroring legacy workflows (B) may not meet current obligations; broad auto-containment (C) lacks necessary oversight controls.
                                              References: AI Security Management (AAISM) Body of Knowledge - Governance of AI-Driven Security Automation; Human Oversight and Escalation; Risk-Based Orchestration. AAISM Study Guide - Incident Response with AI: Controls, Approvals, and Auditability.


                                              질문 # 177
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