그 외, PassTIP AAISM 시험 문제집 일부가 지금은 무료입니다: https://drive.google.com/open?id=19K3nWKnR1IUC3FOv1-owi2Qa7ulVF-5A
PassTIP의ISACA AAISM 덤프 구매 후 등록된 사용자가 구매일로부터 일년 이내에ISACA AAISM시험에 실패하셨다면 PassTIP메일에 주문번호와 불합격성적표를 보내오셔서 환불신청하실수 있습니다.구매일자 이전에 발생한 시험불합격은 환불보상의 대상이 아닙니다. 개별 인증사는 불합격성적표를 발급하지 않기에 재시험신청내역을 환불증명으로 제출하시면 됩니다.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Technologies and Controls | 38% | - AI security architecture and secure design principles - Security monitoring, testing, and continuous assurance for AI systems - Data management and protection controls for AI - Privacy, ethics, trust, and safety controls - AI lifecycle security: model selection, training, validation, and deployment |
| Topic 2: AI Governance and Program Management | 31% | - AI asset and data lifecycle management - Business continuity and incident response for AI systems - AI security program development and management - AI governance frameworks and alignment with business objectives - AI security policies, standards, and procedures |
| Topic 3: AI Risk Management | 31% | - AI threat and vulnerability management - AI risk assessment, thresholds, and treatment strategies - Regulatory compliance and ethical considerations in AI - AI vendor and supply chain risk management |
우리는 고객이 첫 번째 시도에서ISACA AAISM 자격증시험을 합격할수있다는 것을 약속드립니다. ISACA AAISM 시험을 합격하여 자격증을 손에 넣는다면 취직 혹은 연봉인상 혹은 승진이나 이직에 확실한 가산점이 될것입니다. ISACA AAISM시험 어려운 시험이지만 저희ISACA AAISM덤프로 조금이나마 쉽게 따봅시다.
질문 # 311
Which of the following is the MOST important consideration when an organization is adopting generative AI for personalized advertising?
정답：B
설명：
In AAISM, usage of AI for activities involving personal data and profiling, such as personalized advertising, is explicitly mapped to stringent regulatory and compliance requirements (e.g., data protection, consent, profiling limitations, fairness obligations). The material notes that these activities may trigger "heightened regulatory scrutiny, mandatory impact assessments, and potential penalties for non-compliance." While reputational (B), fraud (A), and commercial (C) risks are all relevant, the primary, non-optional constraint is compliance with applicable regulations governing personal data, automated profiling, and targeted content.
Failure in this area can lead not only to reputational harm but also to legal sanctions, enforced remediation, and operational restrictions. Therefore, regulatory risk is identified as the most important consideration when deploying generative AI for personalized advertising.
References: AI Security Management™ (AAISM) Study Guide - AI, Privacy, and Regulatory Compliance; High-Risk Use Cases and Profiling.
질문 # 312
Which of the following approaches BEST enables the separation of sensitive and shareable data to prevent an AI chatbot from inadvertently disclosing confidential information?
정답：B
설명：
AAISM materials describe data segregation and segmented access as core technical controls to prevent unintended information disclosure by AI systems. Siloing refers to logically or physically separating data into distinct repositories or contexts, ensuring that sensitive datasets are not available to components or applications that only require non-sensitive information. This is directly aligned with preventing a chatbot from accessing or mixing confidential data with general conversational content.
질문 # 313
A large financial institution is integrating a third-party AI solution into its fraud detection system. Which is the BEST way to reduce AI vendor/supply chain risk?
정답：B
설명：
AAISM emphasizes contractual governance controls as the strongest mechanism for managing AI vendor and supply chain dependencies. Contracts must require:
* secure development lifecycle practices
* documentation of controls
* security testing
* supply chain transparency
Isolated environments (C) help, but they do not ensure upstream integrity. Performance testing (D) is unrelated to security. Annual assessments (A) occur too late to mitigate onboarding risks.
References: AAISM Study Guide - AI Vendor Governance; Contractual Risk Controls.
질문 # 314
A CISO has been tasked with providing key performance indicators (KPIs) on the organization's newly launched AI chatbot. Which of the following are the BEST metrics for the CISO to recommend?
정답：B
설명：
For executive security and governance reporting, AAISM prioritizes risk-and harm-oriented KPIs that reflect safety, reliability, and responsible behavior of AI systems. Error rate (safety/quality signal) and bias detection (fairness/compliance signal) provide leading indicators of model risk, potential user harm, and regulatory exposure--key interests for a CISO.
질문 # 315
Which of the following is the MOST effective way to mitigate the risk of deepfake attacks?
정답：C
설명：
AAISM study content identifies validating the provenance of data sources as the most effective way to counter deepfake risks. Provenance validation ensures that content is authentic, verifiable, and traceable, preventing malicious synthetic media from being trusted as legitimate. Human oversight helps but cannot reliably detect sophisticated fakes. Limiting tool access reduces exposure but does not prevent external attacks. General-purpose LLMs are not optimized for fraud detection. The strongest control is verifying the origin and authenticity of data before acceptance.
References:
AAISM Study Guide - AI Risk Management (Deepfake and Content Integrity Risks) ISACA AI Security Management - Provenance Validation as a Defense
질문 # 316
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ISACA AAISM 시험자료를 찾고 계시나요? PassTIP의ISACA AAISM덤프가 고객님께서 가장 찾고싶은 자료인것을 믿어의심치 않습니다. ISACA AAISM덤프에 있는 문제와 답만 기억하시면 시험을 쉽게 패스하여 자격증을 취득할수 있습니다. 시험불합격시 덤프비용 환불가능하기에 시험준비 고민없이 덤프를 빌려쓰는것이라고 생각하시면 됩니다.
AAISM인증시험공부: https://www.passtip.net/AAISM-pass-exam.html
참고: PassTIP에서 Google Drive로 공유하는 무료 2026 ISACA AAISM 시험 문제집이 있습니다: https://drive.google.com/open?id=19K3nWKnR1IUC3FOv1-owi2Qa7ulVF-5A