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NEW QUESTION # 372
Which of the following is the MOST important course of action when implementing continuous monitoring and reporting for AI-based systems?
Answer: A
Explanation:
The AAISM governance framework specifies that the foundation of continuous monitoring is real-time tracking of key risk indicators. This ensures immediate detection of deviations, model drift, and operational anomalies. Automated alerts, dashboards, and reporting templates all support monitoring, but they rely on the presence of accurate, real-time KRI measurement as their source. Without live monitoring, the other controls are reactive rather than proactive. The most important course of action in establishing effective continuous monitoring is therefore real-time KRI tracking.
References:
AAISM Study Guide - AI Governance and Program Management (Continuous Monitoring and Assurance) ISACA AI Risk Guidance - Monitoring Key Risk Indicators
NEW QUESTION # 373
Which AI security risk is MOST likely to materialize if training data is sourced from untrusted vendors?
Answer: B
Explanation:
Training data obtained from untrusted vendors may contain maliciously manipulated or corrupted data designed to influence model behavior. This creates a high risk of poisoned data insertion, which can compromise the integrity, reliability, and security of the AI model.
NEW QUESTION # 374
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: C
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 # 375
The BEST approach for aligning AI security requirements with the enterprise security program is to:
Answer: C
Explanation:
Embedding security by design throughout the AI life cycle ensures that security requirements are integrated into planning, development, deployment, operation, and retirement activities from the beginning. This creates consistent alignment between AI initiatives and the enterprise security program while proactively addressing AI-specific risks.
NEW QUESTION # 376
Which defense is MOST effective against cyberattacks that alter input data to avoid detection?
Answer: A
Explanation:
AAISM lists adversarial training as the strongest method to harden models against input manipulation attacks.
By exposing models to adversarial examples during training, the system learns to resist evasion techniques.
Access restriction (B) protects confidentiality, not detection evasion. Monitoring (C) is reactive, not preventive. Differential privacy (D) protects individual data, not adversarial inputs.
References: AAISM Study Guide - AI Evasion Attacks; Adversarial Training Mitigation.
NEW QUESTION # 377
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