Question: How does machine learning contribute to the identification of malicious domains and URLs?
Answer:
Machine learning contributes to the identification of malicious domains and URLs by analyzing patterns and anomalies in domain and URL data, aiding in the detection of potential threats.
MCQ: How does machine learning contribute to the identification of malicious domains and URLs?
Explanation:
Machine learning contributes to the identification of malicious domains and URLs by analyzing patterns and anomalies in domain and URL data, aiding in the detection of potential threats.
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Related Questions
- 1. What is the purpose of using AI in the context of automated threat hunting in cybersecurity?
- 2. How can machine learning contribute to the enhancement of security information sharing among organizations?
- 3. In what way does AI contribute to the identification of fake news and disinformation campaigns online?
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