Question: What is the role of machine learning in security monitoring and logging systems?
Answer:
Machine learning in security monitoring and logging systems identifies patterns and anomalies in log data for threat detection.
MCQ: What is the role of machine learning in security monitoring and logging systems?
Correct Answer:
A. Improving website aesthetics
Explanation:
Machine learning in security monitoring and logging systems identifies patterns and anomalies in log data for threat detection.
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Related Questions
- 1. How can log retention policies impact an organization's ability to investigate security incidents?
- 2. What is the significance of log integrity and tamper-evident logging in security monitoring?
- 3. How can threat hunting complement automated security monitoring and logging systems?
- 4. What challenges might organizations face when implementing comprehensive security monitoring and logging solutions?
- 5. In the context of logging, what is the purpose of audit logs, and what type of information do they typically capture?
- 6. How does user and entity behavior analytics (UEBA) contribute to security monitoring and logging?
- 7. What is the role of log normalization in enhancing the effectiveness of security logs?
- 8. How can integrating threat intelligence into security logs enhance the context of monitoring data?
- 9. What role does data encryption play in securing logs and sensitive information in a logging system?
- 10. How can security information from logs be utilized in compliance audits for web applications?
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