# AI Incident Summary Pipeline
Modern SOC environments generate noisy security events every minute.
Analysts waste hours manually reviewing alert states, calculating exposure totals,
and preparing stakeholder summaries.
This workflow automates incident aggregation, severity filtering,
risk scoring, and AI-ready reporting inside n8n.
## Problem
Security teams receive raw incident feeds with mixed severities,
duplicate investigations, false positives, and fragmented reporting.
Without automation:
- Analysts manually calculate risk exposure
- Daily SOC summaries consume operational time
- Executive reporting becomes inconsistent
- High-priority incidents are buried in noise
## Solution
An n8n workflow that:
- Ingests raw incident datasets
- Filters incidents by investigation status
- Calculates total resolved risk exposure
- Counts active investigations
- Generates a clean operational summary
- Sends formatted notifications through Telegram
## Workflow Logic
Trigger → Incident Dataset → Severity Filtering → Risk Aggregation → Report Formatting → Telegram Alert
## Use Cases
- SOC daily incident reporting
- AI-assisted threat operations
- MDR operational summaries
- Executive cyber exposure dashboards
- Security incident triage automation
- Threat intelligence aggregation pipelines
## Impact
Reduces manual SOC reporting overhead.
Standardizes incident visibility across teams.
Accelerates analyst response workflows.
Creates reusable structured summaries for AI security copilots and SIEM enrichment.
## Example Output
Daily Incident Summary
Resolved incidents: 3
Investigating incidents: 2
False positives: 1
Resolved risk exposure: 2,180
Resolved organizations:
- Luna SOC
- Baker Security Group
- Prime Dental Secure
Kunsh Tanwar | ETXcyberops | kunsh@etxhuman.com
