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| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | Advanced in AI Security Management (AAISM) Exam |
| Exam Number: | AAISM |
| Exam Price: | USD 459 (member) / USD 599 (non-member) |
| Exam Format: | Multiple-choice questions |
| Certificate Validity Period: | 3 years (continuing professional education required for renewal) |
| Real Exam Qty: | 90 |
| Available Languages: | English, Spanish |
| Related Certifications: | CISM CISSP |
| Exam Duration: | 150 minutes |
| Passing Score: | 450/800 |
| 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 # 183
Which of the following should be the PRIMARY objective of implementing differential privacy techniques in AI models used for fraud detection systems?
Answer: C
Explanation:
AAISM defines differential privacy as a technique that ensures individual data points cannot be reverse- engineered or identified, even when used to train high-risk AI models such as fraud detection systems. Its primary purpose is to protect individual privacy while maintaining aggregate utility.
Accuracy improvements (B) or performance optimizations (A, D) are not core objectives of differential privacy.
References: AAISM Study Guide - Privacy-Preserving Machine Learning; Differential Privacy Fundamentals.
NEW QUESTION # 184
A school district contracts a third-party provider for AI-based curriculum recommendations. Which of the following is the BEST way to ensure the vendor uses AI responsibly?
Answer: B
Explanation:
AAISM emphasizes transparency artifacts from vendors to enable due diligence and assurance. A model card documents intended use, data sources, limitations, performance across subgroups, known risks, and evaluation procedures-information necessary to assess safety, fairness, and compliance for sensitive contexts like education. SSO and support are useful operational features; generic ToS updates are insufficient without model-specific disclosures.
References: AI Security Management™ (AAISM) Body of Knowledge - Third-Party & Supply Chain Governance; Transparency Artifacts (Model Cards, Datasheets). AAISM Study Guide - Vendor Due Diligence Requirements; Documentation for Risk, Fairness, and Intended Use.
NEW QUESTION # 185
When robust input controls cannot prevent prompt injections in an LLM, what is the BEST compensating control?
Answer: B
Explanation:
AAISM identifies output review and annotation as the most practical compensating control when robust input validation cannot be applied.
Output moderation detects:
- maliciously influenced responses
- unsafe outputs
- security-policy violations
NEW QUESTION # 186
A financial organization relies on AI-based identity verification and fraud detection services.
Which of the following BEST integrates AI security risk into the business continuity plan (BCP)?
Answer: A
Explanation:
AAISM stresses that AI systems and their supporting infrastructure must be explicitly included in disaster recovery and continuity planning, since disruptions to models, feature stores, or pipelines can halt critical business functions.
NEW QUESTION # 187
When selecting an AI model for a life insurance organization to enhance fraud detection, which factor is MOST critical to ensure secure and reliable deployment?
Answer: D
Explanation:
AAISM emphasizes robustness as the key requirement for fraud-detection systems because they must resist adversarial manipulation, data poisoning, spoofing, and input tampering.
NEW QUESTION # 188
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