Security Information and Event Management (SIEM) is a security discipline and platform category that aggregates, normalises and correlates log and event data from across an estate to detect, investigate and respond to threats. It combines real-time monitoring and alerting with longer-term storage for forensics and compliance reporting. SIEM is the analytical core of most security operations, turning raw telemetry into actionable detections.

Overview

  • A SIEM collects logs and events from endpoints, networks, identity systems and applications, then parses them into a common schema so disparate sources can be correlated.
  • Correlation rules and analytics flag patterns that indicate compromise — failed logins followed by privilege escalation, beaconing, or data exfiltration.
  • Detections raise alerts that feed Incident Response workflows, while retained event history supports forensic investigation and Compliance Monitoring.
  • Modern SIEMs increasingly fold in Anomaly Detection and enriched Threat Intelligence to reduce false positives and surface novel attacks.

Key aspects

  • Ingestion and normalisation: collecting heterogeneous telemetry and mapping it to a unified event model.
  • Correlation: combining events across sources and time to detect multi-stage attacks.
  • Alerting and triage: prioritising detections for analysts and driving Incident Response.
  • Retention and search: storing events for forensics and Compliance Monitoring reporting.
  • Enrichment: layering Threat Intelligence and asset context onto raw events.

Mechanisms

Applications

  • Security operations centres monitoring enterprise estates around the clock.
  • Regulatory reporting that needs auditable, retained security event history.
  • Threat hunting that pivots across correlated telemetry and Threat Intelligence.
  • Coordinating with Vulnerability Management and Data Loss Prevention to close exposure.

Provenance