Which of the following is the BEST way to reduce the risk of misuse of an AI agent that has access to critical data and systems?
Answer(s): A
Validating agent compliance with output restrictions ensures that the AI agent operates within defined boundaries, preventing unauthorized actions, data exposure, or misuse when it has access to critical data and systems.
Which of the following is MOST important to ensure security throughout the AI data life cycle?
Answer(s): D
Maintaining a complete inventory with data lineage records ensures visibility, traceability, and accountability for data across all phases of the AI data life cycle, enabling consistent security controls, risk management, and compliance from data sourcing through disposal.
A financial organization relies on AI-based identity verification and fraud detection services. Which of the following BEST integrates AI security risk into the organization's business continuity plan (BCP)?
Answer(s): C
Including AI models and their supporting infrastructure in disaster recovery scenarios ensures that critical AI-dependent services can be restored and continue operating during disruptions, effectively integrating AI security risk into the organization’s business continuity planning.
Within an incident handling process, which of the following would BEST help restore end user trust with an AI system?
Answer(s): B
Validating the AI model’s outputs by team members helps restore end user trust by demonstrating that results are being carefully reviewed and corrected when necessary, reinforcing confidence in the system’s reliability after an incident.
Which of the following should be the PRIMARY objective of implementing differential privacy techniques in AI models leveraging fraud detection systems?
Differential privacy is primarily implemented to protect individual data contributions by limiting what can be inferred about any single record, while still enabling meaningful statistical analysis for fraud detection.
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