Which of the following helps in managing potential security issues related to model training?
Answer(s): A
The NIST AI RMF provides structured guidance for identifying, assessing, and managing risks specific to AI systems, including those arising during model training. It addresses issues like bias, security, and data integrity, making it the best framework for managing training-related security concerns.
Which of the following improves the observability and auditing of an AI system?
Answer(s): C
MLOps provides structured monitoring, logging, and version control for AI models. This improves observability and ensures detailed auditing of model behavior, data pipelines, and changes throughout the AI lifecycle.
Users report that the output of a generative AI application seems unrelated to the prompts and contains offensive content. A security team investigates and determines that there was an on-path attack. Which of the following is the most likely attack method?
Answer(s): D
Which of the following is used to train an AI model with unstructured data?
A security architect performs threat modeling of an AI system. The architect needs to determine which attacks can be performed against the system.Which of the following actions should the architect take next?
MITRE ATLAS is specifically designed to catalog adversarial TTPs targeting AI systems. By analyzing ATLAS, the architect can determine which types of attacks are possible against the AI system, making it the most appropriate resource for threat modeling in this context.
Which of the following is the most impactful security risk associated with the use of a generative AI chatbot?
Answer(s): B
The most significant risk with generative AI chatbots is data leakage, where sensitive or regulated information could be exposed through prompts or outputs. This risk directly impacts confidentiality and compliance, making it more critical than access scope, encryption, or validation concerns.
A security operations center (SOC) analyst needs to automate multiple security tasks by breaking them down into smaller parts. Which of the following AI tools is the best for this task?
Agentic AI is designed to autonomously break down complex tasks into smaller steps and execute them in sequence. This makes it the best tool for automating multiple security tasks in a SOC environment.
Which of the following responsible AI standards refers to a principle that clearly states the reasons behind the decisions for a particular conclusion?
Explainability is the responsible AI principle that ensures AI systems can provide clear reasoning for their decisions, allowing users to understand how and why a particular conclusion was reached.
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