An organization is deploying an automated AI cybersecurity system. Which of the following would be the MOST effective strategy to minimize human error and improve overall security?
Answer(s): B
Using historical data to train AI detection software improves accuracy and consistency of threat detection, reducing reliance on manual intervention and minimizing human error while strengthening overall cybersecurity effectiveness.
When addressing privacy concerns related to AI systems, which of the following is the GREATEST significance of user consent for an organization?
Answer(s): C
User consent is most significant because it provides the legal and ethical basis for the organization to process personal data within the AI system in compliance with privacy regulations.
An organization is considering a Software as a Service (SaaS)-based HR system that uses AI to automate resume vetting and pre-screening of candidates. Which of the following controls is MOST important to review?
Answer(s): A
Which of the following strategies BEST ensures generative AI tools do not expose company data?
Prohibiting the input of sensitive data directly prevents company information from being exposed through prompts, training interactions, or generated outputs, addressing the highest-risk data leakage vector when using generative AI tools.
Which of the following is the MAIN objective of the operational phase of AI life cycle management?
The operational phase focuses on monitoring model performance to ensure the AI system continues to function as intended, remains accurate, reliable, and secure, and detects issues such as drift, bias, or degradation during live use.
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