Recognize AI-driven Threats CY0-001 Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A security team uses an AI model to detect malicious URLs. An attacker wants to make a malicious URL appear benign to the model. Which technique would be most effective?

   • AUsing a URL shortener
   • BAdding a legitimate-looking path to the URL
   • CHosting the malicious content on a trusted domain
   • DApplying small perturbations to the URL string that cause misclassification
   Reveal Solution Discussion Select an answer first
2. 2expert · hard

   A company's board of directors receives a recorded video message from the CEO announcing a merger. The video appears authentic, but it is later revealed to be a deepfake. What is the most significant security risk of this deepfake?

   • AIt can corrupt the company's AI training data
   • BIt can exploit a vulnerability in the video conferencing software
   • CIt can cause financial loss through fraudulent transactions
   • DIt can cause a denial of service on the company's network
   Reveal Solution Discussion Select an answer first
4. 3foundation · medium

   How can machine learning be used to conduct attacks on cybersecurity systems?

   • ABy encrypting all data on a system without a key.
   • BBy physically destroying network hardware.
   • CBy generating realistic phishing emails that improve based on user responses.
   • DBy replacing all human security analysts.
   Reveal Solution Discussion Select an answer first
5. 4foundation · medium

   Which statement best describes a general characteristic of AI-driven threats in cybersecurity?

   • AThey can operate at scale and adapt to defensive measures.
   • BThey are limited to attacks that target machine learning models directly.
   • CThey always require human intervention to execute each step.
   • DThey are static and do not adapt to defensive measures.
   Reveal Solution Discussion Select an answer first
6. 5foundation · medium

   What is the main privacy risk associated with a model inversion attack?

   • AExposure of sensitive training data.
   • BCorruption of the model's weights.
   • CUnavailability of the model.
   • DLoss of model accuracy.
   Reveal Solution Discussion Select an answer first