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ISACA AAISM Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Security Management (AAISM) Exam
Exam Number:	AAISM
Passing Score:	450 (out of 800)
Real Exam Qty:	90
Exam Duration:	150 minutes
Exam Format:	Scenario-based, Multiple-choice
Related Certifications:	CISSP CISM
Certificate Validity Period:	3 years
Available Languages:	English
Exam Price:	US$459 (members), US$599 (non-members)
Recommended Training:	ISACA Official AAISM Training
Exam Registration:	ISACA AAISM Registration
Sample Questions:	ISACA AAISM Sample Questions
Exam Way:	Computer-based; available at authorized PSI testing centers or via remote proctoring
Pre Condition:	Hold an active CISM or CISSP certification
Official Syllabus URL:	https://www.isaca.org/credentialing/aaism/aaism-exam-content-outline

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Latest ISACA AAISM Mock Exam & AAISM New Question

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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 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.
Topic 3	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.

ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q50-Q55):

NEW QUESTION # 50
A pharmaceutical organization uses an AI solution from a third-party vendor to analyze confidential research and development data. Which of the following controls is MOST essential to ensure the vendor's AI solution complies with the organization's security requirements?

A. Minimize sensitive data being used by the vendor's AI solution.
B. Communicate security requirements to the vendor.
C. Implement a private instance of the solution.
D. Review the vendor's independent security audit report.

Answer: D

Explanation:
Reviewing the vendor's independent security audit report provides objective assurance that the vendor's AI solution and related controls have been evaluated against recognized security standards and requirements. This is essential for validating compliance with the organization's security expectations when handling confidential research data.

NEW QUESTION # 51
A malicious actor is able to retrieve the original data that was used to train an AI model through supplying inputs and observing the corresponding outputs of the model. Which of the following BEST describes this type of attack?

A. Membership inference
B. Model distillation
C. Partial knowledge attack
D. Model inversion

Answer: D

Explanation:
A model inversion attack occurs when an attacker reconstructs or retrieves sensitive training data by analyzing the outputs generated from carefully crafted inputs to the AI model. The attack exploits information leakage from the model to infer original training data.

NEW QUESTION # 52
Which of the following AI system use cases would present the GREATEST regulatory compliance risk for an organization expanding into foreign markets?

A. Employee performance ranking
B. Customer support chatbots
C. Personalized marketing recommendations
D. Email spam filtering

Answer: A

Explanation:
Employee performance ranking involves evaluating individuals and making decisions that can directly affect employment outcomes. In foreign markets, this type of processing is often subject to strict labor laws, anti-discrimination regulations, and data protection requirements, creating the highest regulatory compliance risk.

NEW QUESTION # 53
An organization deploying an LLM is concerned input manipulations could compromise security.
What is the MOST effective way to determine an acceptable risk threshold?

A. Restrict all inputs containing special characters
B. Assess the business impact of known threats
C. Deploy real-time logging and monitoring
D. Implement a static threshold limiting LLM outputs

Answer: B

Explanation:
AAISM instructs that acceptable risk thresholds must be determined using business impact analysis. This aligns with the broader enterprise risk management principle of defining tolerances based on:
- potential harm
- regulatory exposure
- financial impact
- operational disruption

NEW QUESTION # 54
A health services organization is developing a proprietary generative AI chatbot to assist patients with medical devices. Which of the following should be the organization's HIGHEST priority?

A. Maximizing neural network size
B. Tuning algorithms used in the AI model
C. Maximizing the amount of training data
D. Selecting the appropriate training data

Answer: D

Explanation:
AAISM prioritizes training data suitability-lawful sourcing, provenance, quality, representativeness, and safety-especially in health-related applications. The correctness and appropriateness of training data determine clinical safety, reduction of harmful outputs, and compliance with data protection/sector obligations. Larger models or more data do not compensate for inappropriate or low-quality datasets; tuning is secondary to ensuring the right data with rigorous curation, labeling quality, and guardrails aligned to patient safety requirements.
References:* AI Security Management (AAISM) Body of Knowledge: Data Governance & Quality; High- Risk/Health Context Controls; Safety & Harm Minimization* AAISM Study Guide: Data Provenance & Suitability, Domain-Specific Dataset Controls; Compliance-by-Design for Sensitive Sectors

NEW QUESTION # 55
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