Question: How can machine learning contribute to the improvement of incident classification and prioritization in cybersecurity?
Answer:
Machine learning can contribute to the improvement of incident classification and prioritization by identifying patterns and anomalies in incident data, aiding in effective response prioritization.
MCQ: How can machine learning contribute to the improvement of incident classification and prioritization in cybersecurity?
Explanation:
Machine learning can contribute to the improvement of incident classification and prioritization by identifying patterns and anomalies in incident data, aiding in effective response prioritization.
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Related Questions
- 1. What is the role of AI in the context of automated penetration testing in cybersecurity?
- 2. How does machine learning contribute to the identification of malicious domains and URLs?
- 3. What is the purpose of using AI in the context of automated threat hunting in cybersecurity?
- 4. How can machine learning contribute to the enhancement of security information sharing among organizations?
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