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| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | Advanced in AI Security Management (AAISM) Exam |
| Exam Number: | AAISM |
| Related Certifications: | CISSP CISM |
| Certificate Validity Period: | 3 years (continuing professional education required for renewal) |
| Available Languages: | Spanish, English |
| Exam Format: | Multiple-choice questions |
| Exam Price: | USD 459 (member) / USD 599 (non-member) |
| Exam Duration: | 150 minutes |
| Passing Score: | 450/800 |
| Real Exam Qty: | 90 |
| 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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NEW QUESTION # 122
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?
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.
NEW QUESTION # 123
An organization plans to use an external vendor's AI service for customer retention analytics.
Management is worried about third-party dependency and the risk of unauthorized access to customer data. Which of the following is the BEST approach to reduce this risk?
Answer: D
Explanation:
Including data protection requirements in the vendor contract establishes enforceable obligations for safeguarding customer data, while ongoing monitoring ensures the vendor continues to meet those obligations. This directly addresses both third-party dependency and unauthorized access risks in a sustainable and accountable manner.
NEW QUESTION # 124
A vendor switched its chatbot's AI model without due diligence, causing unethical investment advice. What control BEST prevents this scenario?
Answer: A
Explanation:
AAISM stresses AI-specific change management as essential for vendor-driven or system-driven updates.
Proper change control includes:
* impact assessments
* ethical review
* risk evaluation
* approval checkpoints
* rollback plans
An MSA (A) supports contracts but does not manage operational change. Shared responsibility (C) describes roles, not change control. Data minimization (D) reduces exposure but doesn't control model updates.
References: AAISM Study Guide - AI Change Management; Vendor Model Update Controls.
NEW QUESTION # 125
Which of the following strategies is the MOST effective way to protect against AI data poisoning?
Answer: A
Explanation:
AAISM directs organizations to prevent training-time attacks by hard-gating data ingestion with provenance checks, schema and label validation, sanitization, and anomaly/outlier detection prior to model training. These controls most directly block poisoned records from entering the pipeline and are prioritized over architectural complexity or sheer data volume. Diversity of sources can improve representativeness but does not reliably stop adversarial contamination.
References: AI Security Management (AAISM) Body of Knowledge - Adversarial ML: Training-Time Threats; Secure Data Ingestion & Validation Controls; AI Risk Treatment and Assurance. AAISM Study Guide - Poisoning Prevention Gates; Provenance, Quality, and Anomaly Screening in ML Pipelines.
NEW QUESTION # 126
Which of the following types of data is used to tune hyperparameters?
Answer: B
Explanation:
According to AAISM, hyperparameter tuning uses validation data, not training or test data.
Validation datasets are specifically designed to evaluate different hyperparameter configurations without contaminating the training or testing sets.
NEW QUESTION # 127
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