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ISACA AAISM Exam Syllabus Topics:

Section	Weight	Objectives
AI Risk Management	31%	- AI Threats and Vulnerabilities 1. Supply chain and vendor risks 2. Data poisoning and model manipulation 3. Adversarial AI and ML attacks - AI Risk Assessment 1. Risk identification and analysis 2. Risk thresholds and treatment
AI Technologies and Controls	38%	- Data and Model Controls 1. Monitoring and runtime controls 2. Privacy-preserving techniques 3. Data protection and governance - AI Security Architecture 1. Model lifecycle security 2. Secure AI system design - AI Assurance and Safety 1. Ethical AI controls 2. Model validation and testing 3. Bias mitigation
AI Governance and Program Management	31%	- AI Strategy and Policy 1. Responsible and acceptable use 2. AI strategy development 3. Policies and procedures - Frameworks and Compliance 1. Industry frameworks and standards (e.g., NIST AI RMF, ISO/IEC 42001) 2. Privacy and ethics considerations 3. Regulatory requirements - AI Governance Foundations 1. Organizational structure and governance 2. Stakeholder considerations 3. Roles and responsibilities

Section

Weight

Objectives

AI Risk Management

31%

- AI Threats and Vulnerabilities

1. Supply chain and vendor risks
2. Data poisoning and model manipulation
3. Adversarial AI and ML attacks

- AI Risk Assessment

1. Risk identification and analysis
2. Risk thresholds and treatment

AI Technologies and Controls

38%

- Data and Model Controls

1. Monitoring and runtime controls
2. Privacy-preserving techniques
3. Data protection and governance

- AI Security Architecture

1. Model lifecycle security
2. Secure AI system design

- AI Assurance and Safety

1. Ethical AI controls
2. Model validation and testing
3. Bias mitigation

AI Governance and Program Management

31%

- AI Strategy and Policy

1. Responsible and acceptable use
2. AI strategy development
3. Policies and procedures

- Frameworks and Compliance

1. Industry frameworks and standards (e.g., NIST AI RMF, ISO/IEC 42001)
2. Privacy and ethics considerations
3. Regulatory requirements

- AI Governance Foundations

1. Organizational structure and governance
2. Stakeholder considerations
3. Roles and responsibilities

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ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q390-Q395):

NEW QUESTION # 390
An organization is adopting an agentic AI solution from an external vendor to support its internal IT operations. To evaluate the security posture of this system, which of the following provides the MOST reliable and independently verifiable evidence of implemented security controls?

A. Industry benchmarking peer review
B. Internal red team testing reports
C. Third-party audit reports
D. General AI security whitepapers

Answer: C

Explanation:
Third-party audit reports provide independent assurance that the vendor's stated controls are designed and operating effectively against recognized criteria. Such attestations (e.g., audit/assurance frameworks) are traceable, repeatable, and verifiable, and they support supply-chain risk reviews and contractual assurance.
Internal red-team reports are not independent, industry "peer reviews" are not control attestations, and whitepapers are marketing/educational materials without evidence of control operation.
References: AI Security Management™ (AAISM) Body of Knowledge: Third-Party & Supply-Chain Assurance; Independent Assessment and Audit Evidence; Vendor Risk Management. AAISM Study Guide:
Assurance Artifacts for AI Services; Evaluating External AI Providers.

NEW QUESTION # 391
Which of the following is the BEST way to ensure an organization remains compliant with industry regulations when decommissioning an AI system used to record patient data?

A. Ensure backups are tested and access controls are recorded and audited to ensure compliance
B. Perform a post-destruction risk assessment to verify that there is no residual exposure of data
C. Update governance policies based on lessons learned and ensure a feedback loop exists
D. Ensure the certificate of destruction is received and archived in line with data retention policies

Answer: D

Explanation:
For regulated data such as patient information, AAISM requires provable data lifecycle closure at decommissioning. The authoritative evidence is a certificate of destruction (covering primary, replicas, backups, and caches) retained per the organization's records retention policy.

NEW QUESTION # 392
The BEST reason for inviting independent reviewers to evaluate the output of an AI application is to:

A. improve accountability.
B. enhance governance.
C. mitigate internal bias.
D. improve transparency.

Answer: C

Explanation:
Independent reviewers provide an external perspective that helps identify and reduce biases that internal teams may overlook due to familiarity or shared assumptions, leading to more objective evaluation of AI outputs.

NEW QUESTION # 393
An organization plans to implement a new AI system. Which of the following is the MOST important factor in determining the level of risk monitoring activities required?

A. The organization's compensating controls
B. The organization's number of AI system users
C. The organization's risk tolerance
D. The organization's risk appetite

Answer: C

Explanation:
AAISM risk management guidance clarifies that the organization's risk tolerance is the most important factor in determining how much monitoring is needed. Risk tolerance specifies the amount of risk the organization is willing to accept and defines the threshold for triggering monitoring or mitigation activities. Risk appetite is broader and strategic, while tolerance sets the operational limits. The number of users may influence scale, and compensating controls may affect resilience, but neither dictates monitoring intensity as directly as risk tolerance.
References:
AAISM Study Guide - AI Risk Management (Risk Appetite vs. Tolerance)
ISACA AI Security Management - Monitoring Based on Risk Tolerance

NEW QUESTION # 394
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?

A. Explainability and F1 score
B. Error rate and bias detection
C. Customer effort score and user retention rate
D. Response time and throughput

Answer: B

Explanation:
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. Explainability and F1 (A) are model performance/interpretability metrics; customer effort/retention (B) are business CX metrics; response time/throughput (C) are operational SRE metrics. While valuable, they are secondary to risk-centric KPIs for CISO oversight.
References: AI Security Management™ (AAISM) Body of Knowledge - AI Risk Metrics and Assurance; Governance Dashboards for AI. AAISM Study Guide - Operationalizing AI Controls; Safety, Fairness, and Compliance Indicators for Executive Reporting.
O Error rate and bias detection

NEW QUESTION # 395
......

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