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ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
Which of the following is the GREATEST benefit of implementing an AI tool to safeguard sensitive data and prevent unauthorized access?

A. Reduced number of false positives
B. Timely initiation of incident response
C. Timely analysis of endpoint activities
D. Reduced need for data classification

Answer: A

Explanation:
The AAISM study materials highlight that AI-powered security tools provide the greatest benefit by reducing false positives in monitoring and access control systems. This improves efficiency, prevents alert fatigue, and enables security teams to focus on true threats. While timely analysis and incident response are benefits, they are not unique to AI-based tools and can be achieved with traditional methods. AI also does not remove the need for data classification, as classification underpins governance and compliance. The standout advantage is the improved accuracy and reduced false positives provided by AI.
References:
AAISM Study Guide - AI Technologies and Controls (Security Tools and Access Management) ISACA AI Security Management - Benefits of AI-Enabled Security

NEW QUESTION # 21
Which of the following should be done FIRST when developing an acceptable use policy for generative AI?

A. Consult with risk management and legal
B. Review AI regulatory requirements
C. Determine the scope and intended use of AI
D. Review existing company policies

Answer: C

Explanation:
According to the AAISM framework, the first step in drafting an acceptable use policy is defining the scope and intended use of the AI system. This ensures that governance, regulatory considerations, risk assessments, and alignment with organizational policies are all tailored to the specific applications and functions the AI will serve. Once scope and intended use are clearly defined, legal, regulatory, and risk considerations can be systematically applied. Without this step, policies risk being generic and misaligned with business objectives.
References:
AAISM Study Guide - AI Governance and Program Management (Policy Development Lifecycle) ISACA AI Governance Guidance - Defining Scope and Use Priorities

NEW QUESTION # 22
Which of the following should be the PRIMARY consideration for an organization concerned about liabilities associated with unforeseen behavior from agentic AI systems?

A. Accountability model
B. Acceptable risk level
C. Model dependencies
D. Approved base models

Answer: A

Explanation:
AAISM governance guidance stresses that when dealing with agentic AI systems capable of autonomous decision-making, the primary consideration is accountability. Without clear accountability structures, unforeseen or harmful outcomes may result in unmitigated liability for the organization. While dependencies, base models, and defined risk levels are important, they do not directly address who is responsible when systems act unpredictably. The key governance safeguard is the implementation of an accountability model that ensures liability and oversight are properly assigned.
References:
AAISM Exam Content Outline - AI Governance and Program Management (Accountability and Liability Management) AI Security Management Study Guide - Responsible Oversight of Agentic AI

NEW QUESTION # 23
Which of the following is the GREATEST risk inherent to implementing generative AI?

A. Potential intellectual property violations
B. Lack of employee training
C. Inadequate return on investment (ROI)
D. Unidentified asset vulnerabilities

Answer: A

Explanation:
The AAISM framework identifies intellectual property (IP) violations as the most significant inherent risk in deploying generative AI. These systems often rely on large-scale internet data for training, which may inadvertently contain copyrighted or proprietary material. This creates legal and reputational exposure when outputs reproduce or reference protected content. While employee training gaps, asset vulnerabilities, and ROI concerns are relevant risks, they are not inherent to generative models themselves. The greatest inherent risk tied directly to generative AI adoption is the possibility of violating intellectual property rights.
References:
AAISM Study Guide - AI Risk Management (Generative AI Risks and Legal Exposure) ISACA AI Security Management - Copyright and IP Concerns in Generative AI

NEW QUESTION # 24
Which of the following is the MOST effective use of AI in incident response?

A. Improving incident response playbook
B. Streamlining incident response testing
C. Automating incident response triage
D. Ensuring chain of custody

Answer: C

Explanation:
AAISM's risk management guidance notes that the most effective application of AI in incident response is in automating triage activities. AI systems can rapidly analyze logs, alerts, and telemetry to prioritize incidents, reducing response times and allowing human analysts to focus on critical issues. Streamlining testing and improving playbooks are valuable but secondary benefits. Ensuring chain of custody is critical for legal admissibility of evidence but is primarily a human and process-driven control, not AI's strength. The greatest efficiency and effectiveness comes from AI-driven triage automation.
References:
AAISM Exam Content Outline - AI Risk Management (AI for Incident Detection and Response) AI Security Management Study Guide - Automation in Security Operations

NEW QUESTION # 25
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