Which tools can incident handlers use to monitor, collect, detect, and analyze user activities on the network?

Incident handlers can utilize a combination of User Behavior Analytics (UBA), Security Information and Event Management (SIEM), and Data Loss Prevention (DLP) technologies to effectively monitor, collect, detect, and analyze user activities on a network.

User Behavior Analytics is designed specifically to track user activities and identify anomalies by establishing a baseline of normal behavior. This allows incident handlers to detect potential security breaches when user activity deviates from established patterns.

SIEM tools aggregate and analyze log data from various sources within the IT environment to provide insights into security events and threats. They enable incident handlers to monitor real-time activities, correlate data, and generate alerts for suspicious behaviors.

Data Loss Prevention technologies focus on protecting sensitive data from being accessed, misused, or lost, often by monitoring user actions in relation to data handling. They help ensure that user activities comply with established policies and regulations.

The combination of these tools provides a comprehensive approach to understanding user behaviors and identifying potential incidents before they escalate, making "all the above" the correct choice. Each tool contributes unique capabilities that strengthen the incident handling process.