Abstract Composable SIEM
SIEM built from separate parts for collection, AI-assisted detection and tiered retention, which can be adopted one at a time.
Logs from everywhere end up in one place, with alerts that someone actually sees.
Collection and correlation of logs from identity, endpoints, network, cloud and applications, to detect attacks and support investigations.
Without central logs you cannot tell how an attacker got in, what they touched or whether personal data left, and those are the questions regulators ask within days. A SIEM turns scattered logs into detections and evidence, but it needs maintained detection content and people to be worth its cost.
A starting point: set the owner and measure to fit your organisation.
Listed alphabetically by vendor. A listing is not a recommendation: use the questions above to compare them, or tick up to 3 to see them side by side.
SIEM built from separate parts for collection, AI-assisted detection and tiered retention, which can be adopted one at a time.
SIEM and endpoint security built on Elasticsearch, with open detection rules.
Cloud SIEM and SOAR, formerly Chronicle.
SIEM with automation, developed and hosted in Europe.
Cloud SIEM and automated response, built on Azure.
AI-driven security operations platform that centralises security data, detection, automation and response for the SOC.
SIEM for detection, investigation and response, on premises or in the cloud.
Detection rules that run across security data in the stores where it already lives, so logs do not have to be moved into a central SIEM first.
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