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ISACA Advanced in AI Security Management (AAISM) Exam Valid Exam Reference & AAISM Free Training Pdf & ISACA Advanced in AI Security Management (AAISM) Exam Latest Practice Questions
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ISACA Advanced in AI Security Management (AAISM) Exam Sample Questions (Q108-Q113):
NEW QUESTION # 108
An AI-powered drone surveillance system is deployed at a construction site. Which of the following is the MOST appropriate control to detect adversarial threats in the visual recognition model?
Answer: B
Explanation:
Adversarial threats in visual recognition models involve manipulated inputs designed to deceive the model. Testing the model's robustness against image manipulation directly evaluates its ability to detect and resist such adversarial inputs, making it the most appropriate control.
NEW QUESTION # 109
Which of the following types of data is used to tune hyperparameters?
Answer: C
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.
Training data (C) teaches the model. Test data (D) is used only for final evaluation. Configuration data (B) is unrelated to performance optimization.
References: AAISM Study Guide - AI Model Evaluation; Role of Validation Data in Hyperparameter Tuning.
NEW QUESTION # 110
Which of the following BEST addresses hallucination risk when adopting generative AI solutions?
Answer: B
Explanation:
Mandatory human review ensures that AI-generated outputs are checked for accuracy and reliability before use, directly mitigating hallucination risk by preventing incorrect or fabricated information from being accepted or acted upon.
NEW QUESTION # 111
A security assessment revealed that attackers could access sensitive company data through chat interface injection. What is the BEST mitigation?
Answer: A
Explanation:
AAISM explains that prompt injection attacks are best mitigated by:
* strict input validation
* templated prompts
* controlled context windows
* guardrail enforcement
These prevent malicious instructions from overriding system prompts.
Audits (A) are periodic, not preventive. Manual review (B) is not scalable. Monitoring (D) detects issues but does not block injection.
References: AAISM Study Guide - Prompt Injection & Input Control Mechanisms.
NEW QUESTION # 112
A post-incident investigation finds that an AI-powered anti-money laundering system inadvertently allowed suspicious transactions because certain risk signals were disabled to reduce false positives. Which of the following governance failures does this BEST demonstrate?
Answer: A
Explanation:
AAISM states that AI risk signals, thresholds, and model logic must be governed through strict validation and change control processes. Disabling key risk indicators without formal review or testing directly reflects a failure in:
- AI model validation
- Change management
- Governance oversight
NEW QUESTION # 113
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