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GIAC Security Leadership

Domain 2Objective 5

Managing Artificial Intelligence GSLC Practice Questions (Page 6)

Part of the Technical Security Management domain, which makes up ~27% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 180-minute exam (~70–120 total, ~19–32 in this domain), expect 4–6 from this objective — we provide 61 practice questions to prepare you well beyond it. (estimate)

61questions here
13free pages
12concepts

Questions 26–30

  1. 26foundation · easy

    Which term describes an AI system that can reason about and improve its own decision-making processes over time?

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  2. 27expert · hard

    A social media company's AI content moderation system is found to be suppressing legitimate political speech. The issue is traced to a bias in the training data. The company faces public backlash and potential regulatory action. The incident response team must act quickly. Which response strategy is most balanced?

    Select an answer first
  3. 28application · medium

    A financial services firm deploys a machine learning model to approve credit card transactions. The model was trained on historical transaction data that included a period of unusually low fraud rates. Shortly after deployment, fraudsters discover they can manipulate the model's output by submitting transactions with specific combinations of amounts and merchant codes that were rare in the training data. The security team is asked to reduce this vulnerability. Which control would most directly address the identified weakness?

    Select an answer first
  4. 29application · medium

    A company is planning to adopt AI for automating data entry tasks. The CEO is enthusiastic about the potential cost savings, but the operations manager is concerned about employee resistance and job displacement. Which strategy best addresses the organizational change management aspect?

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  5. 30expert · hard

    A security team is responsible for protecting an AI model that is used to detect malware. An attacker has been feeding carefully crafted files to the model to cause it to misclassify malware as benign. The team has identified the attack but needs to implement a mitigation. Which approach is most effective in defending against this type of adversarial attack?

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