Final answer:
QRadar extracts user identity information from network flows through passive observation. It analyzes network traffic to identify patterns and behaviors that can be used to determine user identity. The correct answer is C.
Step-by-step explanation:
QRadar, a network security management platform, extracts user identity information from network flows through passive observation.
By analyzing network flows, QRadar can identify patterns and behaviors that can be used to determine user identity. It does not require physical examinations or direct user interviews. Instead, it passively observes network traffic to gather information.
An example of how QRadar extracts user identity information is by analyzing the source IP address and the associated usernames in network flows. By analyzing this information, QRadar can attribute network activity to specific users.
QRadar extracts user identity information from network flows through passive observation, analyzing quantitative data without user or device interference.
How does QRadar extract user identity information from network flows? The correct answer is c. Through passive observation. QRadar utilizes sophisticated algorithms to analyze network flows. This passive observation doesn’t interfere with network activity but monitors it to identify patterns that can be linked to specific user identities. Unlike methods such as in-depth interviews or focus groups, which are qualitative in nature and often used in social research, QRadar relies on analyzing quantitative data sourced from the network traffic itself. It doesn’t conduct direct user interviews or require physical examinations of devices or users to gather its data.