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| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | Advanced in AI Security Management (AAISM) Exam |
| Exam Number: | AAISM |
| Real Exam Qty: | 90 |
| Passing Score: | 450/800 |
| Certificate Validity Period: | 3 years (continuing professional education required for renewal) |
| Exam Duration: | 150 minutes |
| Exam Format: | Multiple-choice questions |
| Available Languages: | English, Spanish |
| Exam Price: | USD 459 (member) / USD 599 (non-member) |
| Related Certifications: | CISSP CISM |
| 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 # 31
Which of the following would be of GREATEST concern to an information security manager when a small, startup organization is proposing the use of a pre-trained open-source AI solution?
Answer: B
Explanation:
A hidden backdoor represents a direct and severe security risk, potentially enabling unauthorized access, data exfiltration, or system compromise. This type of threat can undermine the entire security posture of the organization and is therefore the most critical concern compared to operational or compatibility issues.
NEW QUESTION # 32
Which of the following should be the MOST important consideration when conducting an AI impact assessment?
Answer: C
Explanation:
AAISM defines an AI Impact Assessment (AIIA) as a structured evaluation designed to determine whether an AI system can safely and responsibly support business objectives without creating unacceptable risks.
The framework states that alignment to business objectives is the central purpose of AI adoption and therefore must be the starting point in an impact assessment.
Reputation (D) is a consideration, but it is a secondary outcome of failing to meet objectives responsibly.
Employee retention (B) and training (C) are not core drivers of an AIIA.
References: AAISM Study Guide - AI Impact Assessment; Business Alignment Principles.
NEW QUESTION # 33
An organization's CIO provided the AI steering committee with a list of AI technologies in use and tasked them with categorizing the technologies by risk. Which of the following should the committee do FIRST?
Answer: A
Explanation:
AAISM governance practices state that before categorizing technologies by risk, the first step is to ensure that all AI systems are documented in the organizational asset inventory. A complete inventory provides the foundation for subsequent risk analysis, accountability, and governance.
Grouping solutions, identifying vulnerabilities, and assessing risk levels come afterward, once inventory accuracy is established. Without confirming that the technologies are recorded in the inventory, risk categorization may miss critical assets.
NEW QUESTION # 34
A healthcare provider uses a third-party large language model (LLM) to summarize patient records. A risk analysis indicates a high likelihood of potential data leakage in excess of the organization's risk tolerance. Which of the following is the BEST course of action taken by the vendor to reduce risk to an acceptable level?
Answer: A
Explanation:
Migrating the LLM workload to a private instance and restricting access most effectively reduces the risk of sensitive patient data leakage. This approach provides stronger control over data handling, processing environments, access management, and exposure pathways, making it the most appropriate risk reduction measure for healthcare data.
NEW QUESTION # 35
Which of the following is the MOST effective action an organization can take to address data security risk when using generative AI features in an application?
Answer: A
Explanation:
AAISM directs organizations to manage third-party AI risks through contractual and technical controls that explicitly govern data use, retention, training/fine-tuning, isolation, and deletion. The most effective data- security action when consuming generative AI features is to require enforceable opt-out provisions that prohibit the provider from using the organization's data for training or secondary purposes and that mandate retention limits and secure deletion. Third-party audit reports (A) provide assurance but do not guarantee provider behavior for your specific data; awareness policies (B) are necessary but insufficient to control external processing; IP ownership guidelines (D) address legal rights, not data-security risk.
References: AI Security Management™ (AAISM) Body of Knowledge - Third-Party/Procurement Controls; Data Use & Retention Clauses; Training/Fine-tuning Opt-Out; Secure Deletion and Purpose Limitation.
NEW QUESTION # 36
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