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

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Analyze vendor security risk from Jira tickets using Grok, Claude and Slack preview
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1. Workflow Overview

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 plu...

Best for

  • SecOps automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.aggregate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.agenttool, n8n-nodes-base.code, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Dmitry Uchakin.

Original n8n.io source

1.1 Workflow description

Title
Analyze vendor security risk from Jira tickets using Grok, Claude and Slack
Workflow name
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.

  1. 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.
  2. A Seed Discovery agent (Claude + Perplexity) finds the vendor's official domains, trust center, privacy policy, and status page URLs — handling domain aliases automatically.
  3. 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.
  4. A Sanitizer code node strips unpredictable LLM formatting from all 7 outputs.
  5. A Lead Security Analyst agent (Grok) synthesizes all findings into a risk-scored report, generating Jira Wiki Markup and Slack Block Kit JSON simultaneously.
  6. 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)

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Add required fields

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 2 - Extract vendor identity

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.2

Block 3 - Process values

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 4 - Grok 4 Fast (extractor)

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices
Version 1

Block 5 - Discover seed URLs

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 6 - Compliance Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 7 - Data Handling Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 8 - Privacy & Legal Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 9 - Security Controls Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 10 - Availability Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 11 - Pricing Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 12 - Company Intel Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 13 - Aggregate

Type / Role
n8n-nodes-base.aggregate - aggregate
Config choices
Version 1

Block 14 - Lead Security Analyst

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 15 - Post to Slack channel

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.3

Block 16 - perplexity_sub_agent

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 2.2

Block 17 - Parse discovery JSON

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 18 - Section 1 — Ingestion Pipeline

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 19 - Section 2 — Discovery Engine

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 20 - Claude Sonnet 4.5 (discovery)

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices
Version 1

Block 21 - Unwrap discovery payload

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 22 - Section 3 — Parallel Research Swarm

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 23 - Claude Sonnet 4.5 (workers)

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices
Version 1

Block 24 - Section 4 — Synthesis Pipeline

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Showing the first 24 of 37 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Analyze vendor security risk from Jira tickets using Grok, Claude and Slack
Complexity advanced
Nodes 37
Categories SecOps, AI Summarization
Author Dmitry Uchakin
Published 13 Apr 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/15029/15029.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Analyze vendor security risk from Jira tickets using Grok, Claude and Slack do?

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 plu...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your SecOps, AI Summarization use case.