What aspect of a Security Information and Event Management (SIEM) system should be improved for better data consistency?

The improvement of data consistency in a Security Information and Event Management (SIEM) system is primarily achieved through data normalization. Normalization involves transforming data from different sources into a standard format before it is processed or analyzed. This standardization is crucial because SIEM systems collect and analyze data from various sources, each producing logs in different formats.

When data is normalized, it ensures consistency in how information is represented, making it easier to correlate events, run insightful analyses, and generate accurate reports. By enabling the SIEM to support uniform data structure and semantics, organizations can better identify trends, detect security incidents, and respond effectively.

In contrast, while the integration of third-party applications, storage capacity, and networking capability are important for the overall functionality and performance of a SIEM system, they do not directly address the issue of data consistency. Improving these aspects may enhance the system's efficiency, enable processing a larger volume of data, or facilitate communication with other tools, but they do not ensure that the incoming data remains consistent and comparable across different sources.