Question: What is the role of anomaly detection in data store auditing?
Answer:
Anomaly detection in data store auditing helps identify unusual patterns or deviations from normal behavior, signaling potential security incidents.
MCQ: What is the role of anomaly detection in data store auditing?
Explanation:
Anomaly detection in data store auditing helps identify unusual patterns or deviations from normal behavior, signaling potential security incidents.
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Related Questions
- 1. How does centralized logging contribute to effective data store auditing?
- 2. Why is it essential to protect audit logs from unauthorized access or tampering?
- 3. How can data store auditing help in the early detection of security breaches?
- 4. What is the purpose of role-based access control in data store auditing?
- 5. How can audit trails contribute to incident response in data store security?
- 6. What is the significance of event correlation in data store auditing?
- 7. How does real-time alerting contribute to the effectiveness of data store auditing?
- 8. Why is it important to regularly review and analyze audit logs in data store security?
- 9. How can data anonymization contribute to privacy in data store auditing?
- 10. What is the primary purpose of APIs (Application Programming Interfaces) in the context of data stores?
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