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SaaS SIEM + Operations Center

Every alarm investigated. Only real incidents reach your team.

Zebrit detects like a SIEM, then sends AI agents to investigate each alarm with your logs, your tools and public threat knowledge. Your people get a verdict with evidence, not another ticket to triage.

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14-day trial. No credit card. Fully managed SaaS.
ALARM · auth.failed_login.burst rule fired 09:02:14
100 failed logins in 3 minutes · j.murphy
agent → identity.lookup(j.murphy)
password expired 08:59, 3 min before burst
agent → network.geo(10.4.12.88)
corporate VPN · known laptop · usual city
agent → logs.pattern(user_agent)
one mail client retrying a cached password
agent → threatintel.check(ip, MITRE T1110)
no match · no other accounts targeted
Verdict Not an attack · expired password
Action No ticket · user asked to reset
Why Zebrit

Other tools stop when the rule fires. That is where Zebrit starts.

Legacy SIEMs and monitoring tools match an event to a rule and raise an alarm. Someone on your team then has to work out whether it matters, at 3am, for the hundredth time. Zebrit keeps the rules and adds the investigation.

01 RULES RAISE ALARMS02 AGENTS INVESTIGATE03 ONLY VERDICTS COME OUTauth.failed ×100HIGHcpu.usage > 95%MEDport.scanHIGHdisk.latencyLOWgeo.impossibleHIGHproc.unsignedMEDidentitythreat intelnetworklogsClosed with evidencereasonexpired passwordticketnoneauditsavedReal incidentverdictconfirmedticketevidence attachedtoon-call teamMost alarms end here, explained.Only these reach people. 01 RULES RAISE ALARMSauth.fail ×100HIGHcpu > 95%MEDport.scanHIGHdisk.latencyLOWgeo.impossibleHIGHproc.unsignedMED02 AGENTS INVESTIGATEidentitythreat intelnetworklogs03 ONLY VERDICTS COME OUTClosed with evidencereasonexpired passwordticketnoneauditsavedReal incidentverdictconfirmedticketevidence attachedtoon-call team
Same alarm, legacy SIEM
01Rule matches 100 failed logins in 3 min
02Labelled brute-force attack, severity high
03Ticket opened, on-call analyst paged
04Analyst spends the next hour proving it was nothing
Outcome: one false positive, one tired analyst
Same alarm, Zebrit
01Same rule fires on the same events
02Agent checks identity, network, device and threat intel
03Finds the password expired three minutes earlier
04Closes the alarm with evidence and nudges the user to reset
Outcome: no ticket, no page, full audit trail

Detect, investigate, decide. In that order.

01 Collect

All your signals, one place

Security logs, infrastructure metrics, cloud and application events stream into a fully managed SaaS platform.

02 Detect

Rules you already trust

Use Zebrit's rule library or bring your own. Detection stays predictable and explainable.

03 Investigate

AI agents do the triage

Agents call skills and tools across identity, assets, changes and public knowledge such as MITRE ATT&CK and CVE feeds.

04 Decide

Suppress, enrich or escalate

Noise is closed with evidence. Real incidents arrive as a ready-made ticket with the investigation attached.

One platform for security and operations

Security and IT ops look at the same infrastructure. Zebrit gives both teams the same investigating agents, so a CPU spike and a suspicious login get the same scrutiny.

ZEBRIT SIEM

Threat detection without the alert fatigue

Log collection, correlation rules and threat intel, with every alarm investigated before it becomes a case.

Identity and access anomaliesEndpoint and network eventsCloud audit trails
ZEBRIT OPERATIONS CENTER

Monitoring that explains itself

Metrics, uptime and application alarms, checked against deploys, schedules and dependencies before anyone is woken up.

Infrastructure and service healthChange-aware alarm triageOn-call routing and escalation
ZEBRIT AGENTS

The investigator behind both

Agents with skills, tools and public knowledge. You decide what they may close on their own and what always needs a human.

Meet the agents →
Explainable verdicts with evidenceGuardrails and approval policiesFull audit log of every step
Operations example

CPU at 97% on a database node. Wake someone up?

A threshold alert would page on-call. Zebrit's agent checks the schedule, the last deploy and the same hour last week, finds the weekly backup job, and closes the alarm with a note. If the pattern ever changes, it escalates.

ALARM · infra.cpu.high · db-prod-02 · 02:00
agent → scheduler.jobs(db-prod-02)
weekly backup started 01:58
agent → metrics.compare(last 4 weeks)
same peak every Sunday, 02:00 to 02:40
agent → changes.recent(db-prod-02)
no deploys in 72 h
Verdict: expected load · closed, no page

How Zebrit compares

Legacy SIEM Monitoring and APM tools Zebrit
Rule-based alarmsYesYesYes
Investigates before alerting a humanNoNoYes, every alarm
Uses identity, change and asset contextManualLimitedAutomatic
Checks public threat knowledgeFeeds onlyNoPer investigation
Explains why it closed or escalatedNoNoEvidence on every verdict
Security and operations togetherSecurity onlyOperations onlyBoth
DeploymentOften on-premSaaSFully managed SaaS

AI that shows its work, inside limits you set

Nothing disappears silently. Every suppressed alarm is logged with the agent's reasoning, and you choose which alarm types it may close alone.

Human in the loop
Approval policies per rule, severity and asset.
Full audit trail
Every tool call and finding, kept and searchable.
EU-based company
Headquartered in Dublin. [Data residency to confirm]
GDPR by design
Personal data processed lawfully, minimised and deletable on request.

See what your alarms look like after Zebrit investigates them

Connect a log source in minutes and watch the agents work on your own data.

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