A SIEM (Security Information and Event Management) system is a centralized log aggregation and analysis platform that ingests security events from firewalls, endpoints, servers, cloud platforms, and applications—then detects threats, anomalies, and compliance violations in real-time. Advanced SIEM operations involve designing detection logic (correlation rules, baselines, machine learning), reducing false positives, threat hunting (proactive search for adversary behavior using MITRE ATT&CK tactics), and incident response playbooks. Popular SIEM platforms include Splunk (market leader), Elastic Stack (open-source, cost-effective), IBM QRadar (enterprise), and Azure Sentinel (cloud-native). Each requires platform-specific tuning, query language mastery (SPL for Splunk, KQL for Sentinel, Lucene for Elastic), and understanding of log collection methods (forwarding, APIs, streaming).