SIEM systems collect logs from endpoints, cloud services, firewalls, and applications to detect suspicious behavior.
What a SIEM does
- Normalizes diverse log sources into a single schema.
- Applies detection rules and machine learning to find anomalies.
- Automates response actions through SOAR integrations.
- Supports compliance reporting with long-term log retention.
Operational considerations
- Tune detections to reduce false positives.
- Establish runbooks for how analysts should triage alerts.
- Ensure data sources cover modern SaaS and cloud services, not just on-prem systems.
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