Existing SIEM

You already have a SIEM. Find out which rules really fire.

Noisy queues and green dashboards hide detections that stopped working. SOCGenX measures every rule and keeps checking it.

The problem

Green dashboards, dead detections.

A rule can look healthy and still miss the attack it was written for.

Rules drift.

A log source changes format, and the rule that reads it goes quiet.

Noise buries the signal.

Analysts spend the day closing alerts that do not matter.

Coverage is assumed.

Nobody can say which detections were last tested, or when.

How SOCGenX helps

Proof for every detection, on the SIEM you have.

No new pipeline and no rip-and-replace: SOCGenX works on top of your SIEM.

Measure every level.

Rule exists, rule enabled, data healthy and validated, for each detection.

Triage the noise.

Agents group related alerts and close known noise with a recorded reason.

Keep checking.

The Proof Loop re-tests detection paths, so a broken rule is caught.

The flow

From a free snapshot to proven coverage.

  1. Step

    Free snapshot.

    A read-only first look at your rules and data health.

  2. Step

    Gap list.

    A prioritised list of what to fix first.

  3. Step

    Assure.

    Scheduled tests keep your coverage proven.

  4. Step

    Operate.

    Agents take on triage and investigation, with your analysts in the loop.

FAQ

SIEM health check questions.

What is a SIEM health check?

A SIEM health check tests whether your SIEM would really alert: which log sources are flowing and healthy, which detection rules exist and are enabled, and which have been validated to fire. SOCGenX starts with a free, read-only snapshot and can keep checking every agreed source and detection afterwards.

Which SIEMs can be checked?

Wazuh and Elastic, with Microsoft Sentinel, Splunk, IBM QRadar and Google SecOps in beta on request, through each SIEM's own API and read-only by default.

Get a free snapshot of your detections.

A read-only first look at which rules exist, which are enabled and which have healthy data.