AI-driven CrowdStrike alert triage, case creation, and response
Build a workflow triggered by CrowdStrike alerts. Pass each alert to an AI step that drafts a structured Tines case (summary, severity, affected host/user, recommended actions). Based on the verdict, initiate remediation such as suspending the Okta user, blocking via Zscaler, and paging via PagerDuty, requiring approval for high-impact actions. Enrich indicators, handle ambiguous alerts by escalating, and retry failures. Output the case and the remediation actions taken.
What this prompt builds
Let AI build a Tines case from each CrowdStrike alert and kick off the required remediation.
The problem
CrowdStrike alerts demand fast, consistent triage and response, but analysts are overloaded and write tickets unevenly. Slow or inconsistent response lets endpoint threats spread.
Solution and impact
This workflow uses AI to turn CrowdStrike alerts into well-structured Tines cases and to initiate remediation across Okta, Zscaler, and PagerDuty. Endpoint alerts get triaged and contained at machine speed with humans focused on judgment calls.