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ISACA AAISM Exam Overview:

Certification Vendor:	ISACA
Exam Name:	Advanced in AI Security Management (AAISM) Exam
Exam Number:	AAISM
Exam Price:	USD 459 (member) / USD 599 (non-member)
Passing Score:	450/800
Available Languages:	English, Spanish
Exam Format:	Multiple-choice questions
Related Certifications:	CISM CISSP
Real Exam Qty:	90
Exam Duration:	150 minutes
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

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ISACA AAISM Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 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.
Topic 3	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.

ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q414-Q419):

NEW QUESTION # 414
Which of the following would be of GREATEST concern when reporting on controls and risk mitigation efforts for AI systems?

A. Lack of detailed explanation of AI model training methodologies
B. Minimal coverage of plans for AI system scalability and expansion
C. Absence of ongoing assessment to confirm that AI control effectiveness is sustainable
D. Delayed communication regarding AI system rollout timelines and initial risk assessments

Answer: C

Explanation:
AI systems continuously evolve and face changing threats, making ongoing assessment essential to ensure controls remain effective over time. Without continuous evaluation and monitoring, previously effective controls may become inadequate, leading to unmanaged and increasing risk exposure.

NEW QUESTION # 415
When evaluating a new AI tool for intrusion prevention, which is MOST important to ensure fit within the existing program architecture?

A. Prioritize real-time anomaly detection
B. Ensure automated response orchestration
C. Select a tool that integrates with the SIEM
D. Confirm tool capabilities align with control objectives

Answer: D

Explanation:
AAISM stresses that AI tools must align with the organization's existing control objectives and governance requirements, ensuring consistency with risk management, detection philosophy, and operational processes.

NEW QUESTION # 416
An organization has discovered that employees have started regularly utilizing open-source generative AI without formal guidance. Which of the following should be the CISO's GREATEST concern?

A. Data leakage
B. Model hallucinations
C. Policy violations
D. Lack of monitoring

Answer: A

Explanation:
The greatest immediate risk from unsanctioned use of public or open-source generative AI tools is data leakage--employees may paste confidential or regulated information into third-party systems, resulting in loss of confidentiality, regulatory exposure, and loss of intellectual property.
AAISM emphasizes that when AI use occurs outside approved channels, the top control priority is preventing exfiltration of sensitive data via prompts, attachments, and context sharing. Monitoring and policy are necessary enablers, but leakage is the highest-impact failure mode in the short term; hallucinations primarily affect accuracy, not confidentiality.

NEW QUESTION # 417
Which of the following is the GREATEST benefit of implementing an AI tool to safeguard sensitive data and prevent unauthorized access?

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

Answer: B

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 # 418
A CISO learns that a video showing an unverified safety issue with the organization's key product has gone viral. The individual in the video often appears to be blurry, and the video contains random lower-quality sections throughout. Which type of threat is this MOST likely an example of?

A. Model drift
B. Data poisoning
C. Hallucinations
D. Deepfake

Answer: D

Explanation:
AAISM defines deepfakes as manipulated media where individuals appear in synthetic or altered video/audio. Indicators include:
- blurred or inconsistent facial rendering
- mismatched frames
- low-quality or distorted transitions
These characteristics match the scenario provided.

NEW QUESTION # 419
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