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ISACA AAISM Exam Overview:

Certification Vendor:	ISACA
Exam Name:	Advanced in AI Security Management (AAISM) Exam
Exam Number:	AAISM
Passing Score:	450/800
Exam Duration:	150 minutes
Related Certifications:	CISM CISSP
Real Exam Qty:	90
Exam Format:	Multiple-choice questions
Available Languages:	Spanish, English
Exam Price:	USD 459 (member) / USD 599 (non-member)
Certificate Validity Period:	3 years (continuing professional education required for renewal)
Recommended Training:	ISACA Official Training & Review Materials
Exam Registration:	ISACA AAISM Credentialing Page
Sample Questions:	ISACA AAISM Sample Questions
Exam Way:	Computer-based exam (online proctored or authorized test center)
Pre Condition:	Recommended: Active CISM or CISSP certification and experience in IT/security management or advisory roles
Official Syllabus URL:	https://www.isaca.org/credentialing/aaism

>> AAISM題庫 <<

ISACA AAISM 考試大綱：

主題	簡介
主題 1	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.
主題 2	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.
主題 3	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.

最新的 ISACA AAISM Certification AAISM 免費考試真題 (Q86-Q91):

問題 #86
An organization is deploying an automated AI cybersecurity system. Which of the following would be the MOST effective strategy to minimize human error and improve overall security?

A. Conducting periodic penetration testing
B. Utilizing machine learning (ML) algorithms to ensure responsible use
C. Using historical data to train AI detection software
D. Implementing manual monitoring of potential alerts

答案：C

解題說明：
Training detection models on relevant, representative historical data improves signal quality, reduces false positives, and automates triage-directly lowering human workload and error rates (e.g., alert fatigue, missed correlations). Penetration testing is valuable but episodic and does not systematically reduce day-to-day operator error. "Ensure responsible use" is a governance aim, not a concrete method to cut human error in detection. Manual monitoring increases reliance on human judgment and is prone to inconsistency.
References: AI Security Management™ (AAISM) Body of Knowledge: Model Development & Evaluation Controls; Data Selection and Representativeness; Operationalization to Reduce Human Error. AAISM Study Guide: Tuning Detection Systems with Historical Corpora; Alert Quality, Precision/Recall, and SOC Workflow Integration.

問題 #87
Which of the following BEST enables an organization to minimize risk from shadow AI?

A. Prohibiting the use of any type of AI in the organization
B. Implementing detective controls and training employees on the use of AI
C. Prohibiting the use of shadow AI and establishing penalties for noncompliance
D. Implementing a robust framework for AI performance evaluation

答案：B

解題說明：
Detective controls provide visibility into unauthorized AI usage, while employee training promotes awareness and responsible behavior. Together, they address both detection and prevention, making them the most effective approach to minimizing risks associated with shadow AI.

問題 #88
The PRIMARY purpose of adopting and implementing AI architecture as part of an organizational AI program is to:

A. ensure the development of powerful, efficient, and scalable AI systems
B. provide a basis for identification of threats and vulnerabilities
C. align the system components of AI with the business goals of the organization
D. deploy fast and cost-efficient AI systems for rapidly changing environments

答案：C

解題說明：
An AI architecture, within program governance, exists to align AI system components and lifecycle processes with business goals and policy constraints. Architecture provides the organizing structure linking strategy, capabilities, processes, data, models, controls, and assurance so that AI outcomes are traceable to business value, risk appetite, and compliance expectations. Efficiency, speed, and threat analysis are important architectural qualities, but they are not the primary purpose; the primary purpose is strategic and governance alignment so that technical choices and controls consistently realize organizational objectives.

問題 #89
Which of the following is the GREATEST benefit of performing AI security risk assessments?

A. Risk prioritization decisions are made for AI security
B. The appropriate level of funding is secured for AI security risk
C. Appropriate privacy risk controls are implemented for AI models
D. The risk register is updated with the latest AI risk

答案：A

解題說明：
AAISM emphasizes that the core outcome of AI risk assessments is prioritization: mapping threat likelihood and business impact to determine which risks to treat first, at what strength, and with which controls. Implementing privacy controls (A), funding alignment (B), and updating registers (C) are important outputs, but the greatest benefit is making defensible, prioritized decisions that align with risk appetite and optimize control selection and resource allocation.
References: AI Security Management (AAISM) Body of Knowledge - AI Risk Assessment & Treatment; Risk Appetite, Tolerance, and Prioritization; Governance of Risk Decisions and Tracking.

問題 #90
A large financial services organization is integrating a third-party AI solution into its critical fraud detection system. Which of the following is the BEST way for the organization to reduce risk associated with AI vendor and supply chain dependencies?

A. Implementing isolated virtual environments to validate the integration of the fraud detection system with the solution
B. Establishing contractual agreements requiring vendors to provide evidence of secure development practices
C. Conducting annual vulnerability assessments of the fraud detection system after integration
D. Focusing on performance testing to ensure the solution meets operational requirements

答案：B

解題說明：
AAISM emphasizes supplier assurance through contractual obligations as the foundational control for AI supply chain risk. Contracts should require verifiable evidence of secure development practices (e.g., secure SDLC, model and data provenance documentation, SBOM/MBOM where applicable, vulnerability disclosure, patch SLAs, audit rights, incident notification, and regulatory compliance assertions). This creates enforceable, continuous assurance beyond point-in-time tests.

問題 #91
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一流的AAISM題庫＆保證ISACA AAISM考試成功 &熱門的AAISM考古題介紹

ISACA AAISM Exam Overview:

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ISACA AAISM 考試大綱：

最新的 ISACA AAISM Certification AAISM 免費考試真題 (Q86-Q91):