Analyze vendor security risk from Jira tickets using Grok, Claude and Slack

How it works

When a new vendor ticket is created in Jira, this workflow automatically performs a comprehensive security due-diligence investigation and posts the findings back as a Jira comment plus a Slack notification.

A Jira webhook fires when an issue is created. An AI agent (Grok) extracts the vendor company name, URL, and product from the issue fields. A Seed Discovery agent (Claude + Perplexity) finds the vendor's official domains, trust center, privacy policy, and status page URLs — handling domain aliases automatically. Seven specialized research agents run in parallel, each with a focused persona: Compliance, Data Handling, Privacy & Legal, Security Controls, Availability, Pricing, and Company Intel. All use Perplexity sonar-pro-search for live web research. A Sanitizer code node strips unpredictable LLM formatting from all 7 outputs. A Lead Security Analyst agent (Grok) synthesizes all findings into a risk-scored report, generating Jira Wiki Markup and Slack Block Kit JSON simultaneously. The report is posted as a comment on the original Jira ticket, and a rich Slack notification with a "View Report in Jira" button is sent to your security channel.

Set up steps

OpenRouter** — Create an OpenRouter account and add an API credential in n8n. The workflow uses three models: x-ai/grok-4-fast, anthropic/claude-sonnet-4.5, and perplexity/sonar-pro-search (~10 min) Jira** — Add a Jira credential (API token) and configure a Jira webhook automation to POST to this workflow's webhook URL when an issue is created in your vendor-review project (~10 min) Slack** — Add a Slack credential (OAuth) and set your target channel in the "Send a message" node (~5 min) Jira URL** — In the "AI Agent" node, replace YOUR-JIRA-DOMAIN in the Jira Browser URL with your actual Atlassian domain (~1 min)