SIEM (Security Information and Event Management) is a security platform that collects logs and event data from systems like applications, endpoints, identity providers, cloud services, and network devices, then normalizes and correlates that data to detect suspicious behavior. It addresses the problem of scattered telemetry and alert overload by bringing signals into one place, enriching them with context such as user, host, and asset details, and applying detection rules and analytics to identify patterns that suggest an incident. With SIEM, teams can triage faster, prioritize higher-confidence alerts, and run more consistent incident response workflows; without it, engineers often jump between tools and manually search raw logs, which slows investigations and increases the chance of missing early indicators. This gap exists because meaningful correlation across many sources is difficult without centralized collection, a common event format, and shared context.