Which statement best describes AI's contribution to network security analytics?

• A. Analyzing network data to identify patterns and vulnerabilities.
• B. Generating random alerts without basis.
• C. Replacing all human analysts.
• D. Only encrypting data in transit.

Answer: (A)

AI helps by sifting through vast amounts of network data—logs, traffic flows, and events from various security devices—to uncover patterns, correlations, and anomalies that indicate threats or misconfigurations. By learning what normal behavior looks like, AI-based analytics can spot deviations in real time, flag suspicious activity, and highlight where vulnerabilities or weaknesses in the network exist. This leads to more accurate detections, better prioritization of incidents, and scalable analysis across complex environments. The other options don’t fit the role of analytics: generating random alerts lacks basis and trust; AI isn’t about replacing all human analysts but augmenting them with faster, data-driven insights; encryption in transit is a protective control, not an analytics capability.