Agentic alert triage driven by Confluence SOPs
Build a workflow triggered by a security alert. A first AI agent analyzes the alert and searches Confluence for the relevant SOP. Create a case record, then dispatch a second AI agent that executes the SOP's remediation steps using available tools (CrowdStrike, Okta, URLScan, VirusTotal, AbuseIPDB, EmailRep, Tavily). Log every action to the case history and notify the on-call team in Slack. Require approval for high-impact actions, handle missing SOPs by escalating, and retry tool failures. Output the case with full action history and final status.
What this prompt builds
Let AI agents find the right Confluence SOP for an alert and execute the remediation steps end to end.
The problem
SOPs live in Confluence but analysts don't always find or follow the right one under pressure, so triage quality varies by who's on shift. Documenting every step for audit is also routinely skipped.
Solution and impact
This workflow uses one AI agent to analyze an alert and locate the matching SOP in Confluence, then a second agent to execute the remediation, with every action recorded in a case and the on-call team notified in Slack. Triage becomes consistent, documented, and largely hands-off.