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Cybersecurity Intelligence: Create Daily Digest & Viral Topics with Gemini AI

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This n8n workflow template simplifies the process of digesting cybersecurity reports by summarizing, deduplicating, organizing, and identifying viral topics of interest into daily emails. It will g...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.code, n8n-nodes-base.baserow, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.scheduletrigger, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.emailsend

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Cybersecurity Intelligence: Create Daily Digest & Viral Topics with Gemini AI
Workflow name
Cybersecurity Intelligence: Create Daily Digest & Viral Topics with Gemini AI

This n8n workflow template simplifies the process of digesting cybersecurity reports by summarizing, deduplicating, organizing, and identifying viral topics of interest into daily emails.

It will generate two types of emails:

  • A daily digest with summaries of deduplicated cybersecurity reports organized into various topics.
  • A daily viral topic report with summaries of recurring topics that have been identified over the last seven days.

This workflow supports threat intelligence analysts digest the high number of cybersecurity reports they must analyse daily by decreasing the noise and tracking topics of importance with additional care, while providing customizability with regards to sources and output format.

How it works

The workflow follows the threat intelligence lifecycle as labelled by the coloured notes.

  • Every morning, collect news articles from a set of RSS feeds.
  • Merge the feeds output and prepare them for LLM consumption.
  • Task an LLM with writing an intelligence briefing that summarizes, deduplicates, and organizes the topics.
  • Generate and send an email with the daily digest.
  • Collect the daily digests of the last seven days and prepare them for LLM consumption.
  • Task an LLM with writing a report that covers 'viral' topics that have appeared prominently in the news.
  • Store this report and send out over email.

How to use & customization

  • The workflow will trigger daily at 7am.
  • The workflow can be reused for other types of news as well. The RSS feeds can be swapped out and the AI prompts can easily be altered.
  • The parameters used for the viral topic identification process can easily be changed (number of previous days considered, requirements for a topic to be 'viral').

Requirements

  • The workflow leverages Gemini (free tier) for email content generation and Baserow for storing generated reports. The viral topic identification relies on the Gemini Pro model because of a higher data quantity and more complex task.
  • An SMTP email account must be provided to send the emails with. This can be through Gmail.

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 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.2

Block 2 - Process output into HTML

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

Block 3 - Baserow Push Data

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

Block 4 - Filter summaries and created date

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

Block 5 - Get data of previous days

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

Block 6 - Google Gemini Chat Model

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

Block 7 - Flatten

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

Block 8 - Process output into HTML1

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

Block 9 - Baserow Push Data1

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

Block 10 - Daily trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 11 - Write basic digest for today

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.6

Block 12 - Send daily digest email

Type / Role
n8n-nodes-base.emailSend - emailSend
Config choices
Version 2.1

Block 13 - Send viral topics email

Type / Role
n8n-nodes-base.emailSend - emailSend
Config choices
Version 2.1

Block 14 - Structured Output Parser1

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.2

Block 15 - Identify viral topics and write digest

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.6

Block 16 - Sticky Note

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

Block 17 - Sticky Note1

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

Block 18 - Sticky Note2

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

Block 19 - Sticky Note3

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

Block 20 - 7 days ago date

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

Block 21 - Sticky Note4

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

Block 22 - Sticky Note5

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

Block 23 - Sticky Note6

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

Block 24 - Sticky Note7

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

Showing the first 24 of 29 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Cybersecurity Intelligence: Create Daily Digest & Viral Topics with Gemini AI
Complexity advanced
Nodes 29
Categories AI Summarization, Multimodal AI
Author Tom
Published 19 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/7608/7608.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 Cybersecurity Intelligence: Create Daily Digest & Viral Topics with Gemini AI do?

This n8n workflow template simplifies the process of digesting cybersecurity reports by summarizing, deduplicating, organizing, and identifying viral topics of interest into daily emails. It will g...

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 AI Summarization, Multimodal AI use case.