Security Ticketing & Auto-Resolution Framework

The Problem

Security teams were drowning in signals — thousands of potential issues across systems with no scalable way to triage, file, and track them. Manual ticketing was the bottleneck.

What I Built

A decision engine that ingests security signals from multiple data pipelines, applies configurable workflow rules to determine ticket-filing criteria, files to the right queues, and auto-resolves issues that match known patterns — all without human intervention.

Technical Challenges

• Complex rule engine for n-workflow ticket filing decisions
• Data pipeline integration across heterogeneous security sources
• Auto-resolution with confidence thresholds and audit trails
• ElasticSearch for signal correlation and pattern matching
• Dead letter handling for unresolvable edge cases

Architecture

[Diagram to be added]

Results & Impact

• Significant reduction in manual security triage time
• Auto-resolution handling a meaningful percentage of total signal volume
• Audit trail for every automated decision