Question: How can machine learning contribute to the identification of insider threats?
Answer:
Machine learning can contribute to the identification of insider threats by identifying patterns and anomalies in user behavior that may indicate malicious intent.
MCQ: How can machine learning contribute to the identification of insider threats?
Explanation:
Machine learning can contribute to the identification of insider threats by identifying patterns and anomalies in user behavior that may indicate malicious intent.
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Related Questions
- 1. What role does AI play in predictive analytics for cybersecurity?
- 2. In what way does AI contribute to the detection of zero-day vulnerabilities?
- 3. What is the purpose of using AI in security analytics?
- 4. How can machine learning assist in the identification of network intrusions?
- 5. What is the role of AI in the automation of threat hunting?
- 6. How does machine learning contribute to the analysis of security telemetry data?
- 7. In what way can AI enhance the detection of advanced persistent threats (APTs)?
- 8. What is the purpose of using AI in the context of security risk assessment?
- 9. What role does AI play in the improvement of threat intelligence sharing among organizations?
- 10. How can machine learning enhance the accuracy of security predictions and forecasts in cybersecurity?
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