SIEM software operates by collecting logs and event data obtained from applications, devices, networks, infrastructure, and systems to conduct analysis and provide a comprehensive understanding of an organization’s Information Technology (IT) environment.
SIEM begins its operation with the collection and aggregation of data from various sources. Then, the data undergoes analysis through context understanding, detection of abnormal patterns, and identification of potentially dangerous actions. Machine learning (ML) and artificial intelligence (AI) capabilities are used to detect new and complex threats. When the system detects suspicious activity, it generates an incident and initiates the response process.
SIEM technology can operate both on-premises (using your own equipment) and in the cloud (using another provider) and collect data from a multitude of diverse sources.
By analyzing all data in real-time, SIEM solutions use rules and statistical correlations, enabling valuable practical insights during incident investigations. SIEM technology examines all data, sorting threat behaviors by risk level, facilitating the swift identification of malicious actors and neutralization of cyberattacks.
