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A financial chatbot undergoes pre-deployment evaluation to ensure it never produces investment advice or discloses personal data. The tests include adversarial prompting and stress validation. Which two controls best describe this testing?
A healthcare organization uses an AI diagnostic model to process medical images. Administrators want to ensure that users cannot upload excessively large image files and also limit the number of submissions per user to reduce system congestion. Which two input quota controls should be applied?
A cybersecurity engineer is testing a chatbot based on a large language model (LLM). The chatbot reveals sensitive internal policies when prompted with indirect questions. Which OWASP LLM Top 10 vulnerability does this scenario represent?
A financial services firm notices their fraud detection model's performance degrades after fine-tuning for 50 epochs on new transaction data. Security analysis reveals that attackers injected poisoned samples early in the dataset, and the excessive epochs amplified their impact. What security vulnerability related to epoch configuration does this scenario demonstrate?
A financial institution's AI engine classifies large sets of transaction logs to identify repeated tactics used by known fraudsters, helping analysts recognize emerging fraud methods. Which AI use case is applied?
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