As powerful as many cyber security tools are, it remains challenging for organizations of all sizes to meet their operational, audit, and security needs. As networks become more and more complex, the number of devices to monitor has also significantly increased, along with the amounts of data.
SIEM/LM systems are designed to collect and analyze log data from various sources, including network devices, servers, applications, and endpoints. This data can include system events, application logs, firewall logs, network traffic logs, and more. The goal of this approach is to provide a comprehensive view of an organization's security posture and help detect and respond to security threats.
However, the volume of log data generated by these systems can be overwhelming. In some cases, SIEM/LM systems may generate thousands or even millions of log entries per day, depending on the size and complexity of the organization. This overflow of data can make it challenging for security analysts to effectively analyze their data.
There is a real need to reduce the scale and complexity of the analysis to a more intelligible level in order for analysts to come up with appropriate solutions to improve overall security. Advanced data visualization solutions powered by graph analytics enable just that.