ZekeStack

Security operations

SOC Alert Summarizer

A possible demo system for turning noisy security alerts into concise, analyst-ready incident summaries with clear routing.

Business outcome

Reduce alert fatigue and speed up first review by converting raw alerts into structured summaries, severity notes, and next actions.

Use case fit

Best fit for IT and security teams managing noisy alert queues across SIEM, cloud, endpoint, and ticketing systems. Useful when analysts need faster first review, clearer incident summaries, severity context, and traceable escalation decisions.

Operational workflow

The workflow diagram shows how the automation moves work from intake to review, downstream updates, and auditability.

SIEM alert
Enrichment
AI summary
Severity routing
Analyst review
Ticket update
Audit log

Reference architecture

The architecture view uses neutral system blocks to show data flow, integration boundaries, review points, and operational logging.

Sources

ALR

Security alerts

SIEM, EDR, cloud logs, detection rules

Automation core

Q

Event queue

Buffers alerts and protects downstream services

ENR

Enrichment service

Asset, user, severity, and source context

AI

AI summary layer

Incident brief, likely impact, recommended action

Integrations

API

Ticketing connector

Jira, ServiceNow, Slack, or Teams update

Governance

SOC

Analyst dashboard

Human review and escalation decision

LOG

Audit log

Alert source, summary, reviewer, routing outcome

Technical stack

  • Next.js
  • Serverless API routes
  • Queue or workflow engine
  • OpenAI-ready API route
  • SIEM API
  • Jira, ServiceNow, Slack, or Teams integrations

Integration path

  • SIEM webhook or API polling
  • Asset and identity enrichment
  • AI alert summary route
  • Analyst dashboard
  • Ticketing and collaboration tools

Implementation notes

  • Designed to support analysts, not bypass them.
  • Every generated summary should preserve links to source events.
  • Routing can require human approval for high-severity incidents.