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Platform · Zebrit SIEM

A SIEM that investigates its own alarms

Collect security logs, detect with rules you trust, and let AI agents work out which alarms are real before anyone opens a ticket.

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Everything a SIEM should do, plus the part your team does by hand today

Log collection

Agentless and agent-based collection from identity, endpoint, network and cloud sources, normalised into one schema.

Detection rules

A maintained rule library mapped to MITRE ATT&CK, plus your own custom rules. [Confirm Sigma support]

Threat intelligence

IPs, domains and hashes checked against public and commercial feeds during every investigation.

Agent investigation

Each alarm gets an AI investigator that gathers context, tests hypotheses and returns a verdict with evidence.

Cases and response

Real threats become cases in Zebrit Incident Management with the full investigation attached.

Search and retention

Fast search across all events, with [retention period] of hot storage included.

Not every verdict is "ignore"

The agents are there to find the truth, not to hide alarms. When the evidence points to a real attack, your team hears about it faster and with more context.

AlarmWhat the agent checkedVerdict
100 failed logins in 3 minPassword expiry, source IP, device, client patternClosed · expired password
Impossible travel, Dublin to SingaporeVPN exit nodes, device ID, MFA historyClosed · VPN region change
New domain admin createdChange tickets, creator's role, time of dayLogged · approved change found
Outbound traffic to rare IPThreat feeds, process tree, other hostsEscalated · known C2 server

Point Zebrit at one log source and see the difference in a day

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