SOC L1 automation · Pillar 05

Your L1 shift,
automated.

A six-stage, AI-assisted pipeline enriches, scores and routes every alert, then groups related alerts into incidents and dedupes repeat firings. Analysts arrive at a verdict-ready case instead of a raw queue — and the models learn from their decisions.

6-stage pipeline3 ML modelsAI-assisted, analyst-led
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rawalert 1Entityextraction2Threatintel3UEBA4Correlation5Rulescoring6MLensemble Scored case ENRICH · SCORE · ROUTE · GROUP analyst verdict retrains the models
Six stages turn a raw alert into a scored, grouped case.
The problem

L1 analysts drown in raw, context-free alerts — most of them duplicates or false positives. Triage is slow, inconsistent and burns the team out. KosmicSignal automates the mechanical first pass so analysts spend their time on real decisions.

6
pipeline stages
3
ML models
Auto
alert grouping
How it works

What you get.

Six-stage triage pipeline

Entity extraction → threat intel → UEBA → correlation → rule scoring → ML ensemble. Every alert arrives enriched and scored.

Alert triage

Each alert gets an explainable score, a suggested verdict and a route — so the queue is ranked by what actually matters.

Incident triage

Related alerts sharing an entity or kill-chain are grouped into one incident, and repeat firings are deduped — no more one-incident-per-alert.

Learns from your analysts

Models retrain in the background on your team’s real classifications, so scoring sharpens over time. AI-assisted — analysts always decide.

In the product

See it live.

kosmicsignal.com/app
The analyst workspace
The analyst workspace
kosmicsignal.com/app
AI/ML assessment & score on every alert
AI/ML assessment & score on every alert
Works with
See KosmicSignal in action

A walkthrough of
the live product.

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No obligation. A look at the actual platform, on your data.