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GmailTrigger Automate

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GmailTrigger Automate streamlines email monitoring and phishing detection by integrating Gmail and Microsoft Outlook. It captures incoming emails every minute, extracts key details, and analyzes content using AI. Automated Jira ticket creation ensures efficient reporting of potential threats, complete with email screenshots and analysis, enhancing security response and documentation.

Workflow Overview

GmailTrigger Automate streamlines email monitoring and phishing detection by integrating Gmail and Microsoft Outlook. It captures incoming emails every minute, extracts key details, and analyzes content using AI. Automated Jira ticket creation ensures efficient reporting of potential threats, complete with email screenshots and analysis, enhancing security response and documentation.

Target Audience

  • IT Security Teams: Responsible for monitoring and responding to phishing threats.
  • Helpdesk Staff: Need to create tickets for reported phishing emails efficiently.
  • Email Administrators: Manage incoming emails from Gmail and Outlook, ensuring security measures are in place.
  • Developers: Looking to automate workflows involving email processing and ticket creation in Jira.

Problem Solved

This workflow addresses the growing threat of phishing emails by automating the detection, analysis, and reporting process. It allows teams to quickly respond to potential threats, ensuring that phishing attempts are documented and investigated promptly. The integration with Jira streamlines the ticketing process, making it easier to track and resolve issues.

Workflow Steps

  1. Triggering the Workflow: The workflow is initiated manually or automatically by the Gmail Trigger or Microsoft Outlook Trigger, which checks for new emails every minute.
  2. Extracting Email Data: Key information such as the subject, recipient, and body content of the email is extracted using the Set Gmail Variables or Set Outlook Variables nodes.
  3. Retrieving Email Headers: For Outlook emails, detailed headers are retrieved using the Retrieve Headers of Email node, which helps in analyzing the email's authenticity.
  4. Formatting Headers: The Format Headers node organizes the retrieved headers into a user-friendly format for better analysis.
  5. Generating HTML Screenshot: The email's HTML content is processed to create a visual representation using the Screenshot HTML node, which sends the content to the hcti.io API.
  6. Fetching Screenshot: The Retrieve Screenshot node retrieves the generated image of the email, which is essential for visual analysis.
  7. AI Analysis: The email content and headers are analyzed using ChatGPT Analysis, which assesses the email for potential phishing indicators and formats the response for Jira.
  8. Creating a Jira Ticket: A detailed ticket is created in Jira using the Create Jira Ticket node, compiling all relevant information, including the phishing analysis.
  9. Uploading Screenshot: Finally, the email screenshot is uploaded to the newly created Jira ticket using the Upload Screenshot of Email to Jira node, providing additional context for the security team.

Statistics

18
Nodes
0
Downloads
13
Views
12777
File Size

Quick Info

Categories
Communication & Messaging
Complex Workflow
+1
Complexity
complex

Tags

manual
advanced
api
integration
complex
sticky note
jira
langchain
+2 more