Question: How does AI contribute to the improvement of network segmentation for enhanced cybersecurity?
Answer:
AI contributes to the improvement of network segmentation by analyzing network traffic patterns and optimizing segmentation rules, enhancing overall cybersecurity through more effective isolation of network segments.
MCQ: How does AI contribute to the improvement of network segmentation for enhanced cybersecurity?
Explanation:
AI contributes to the improvement of network segmentation by analyzing network traffic patterns and optimizing segmentation rules, enhancing overall cybersecurity through more effective isolation of network segments.
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Related Questions
- 1. How can machine learning contribute to the improvement of network anomaly detection?
- 2. What is the role of AI in the automation of threat attribution in cybersecurity?
- 3. How does machine learning contribute to the identification of patterns in encrypted traffic for security analysis?
- 4. In what way can AI enhance the identification and prevention of data exfiltration attacks?
- 5. What is the purpose of using AI in the context of deception technologies in cybersecurity?
- 6. How can machine learning contribute to the improvement of incident classification and prioritization in cybersecurity?
- 7. What is the role of AI in the context of automated penetration testing in cybersecurity?
- 8. How does machine learning contribute to the identification of malicious domains and URLs?
- 9. What is the purpose of using AI in the context of automated threat hunting in cybersecurity?
- 10. How can machine learning contribute to the enhancement of security information sharing among organizations?
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