A disgruntled employee changed the company policies that a chatbot references in order to create confusion and disrupt the business. Which of the following AI-generated vulnerabilities is the employee exploiting?
Answer(s): C
Altering the source data (policy content) that the chatbot relies on corrupts its knowledge and behavior, which is characteristic of data poisoning attacks.
A security consultant must summarize the impact of posture management on a machine learning (ML) use case. Which of the following is the most appropriate reference for this purpose?
Answer(s): B
The NIST AI RMF provides structured guidance for assessing and managing risks across the AI lifecycle, including posture management. It helps organizations align AI security practices with governance, resilience, and trustworthiness requirements.
A cybersecurity analyst must use pattern recognition on a data set containing unstructured data. Which of the following models is the best for this task?
Answer(s): A
An employee wants a consulting company to procure a data set that contains age, ethnicity, and diabetes status. During development, the employer wants to ensure the integrity of the data. Which of the following is the best strategy to accomplish this task?
Checksums ensure data integrity by detecting any unauthorized or accidental changes to the dataset. This provides a reliable way to confirm that sensitive attributes such as age, ethnicity, and diabetes status remain unaltered during development.
Which of the following strengthens the performance of a large language model (LLM) for malicious reconnaissance?
RAG augments an LLM with external, up-to-date information retrieval, improving its factual accuracy and contextual scope—capabilities that directly strengthen the model’s effectiveness for reconnaissance.
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