Block 1 - Manual Trigger
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
What this template does Batch evaluates compliance controls from Google Sheets using the CyberPulse Compliance API. Each control is scored, mapped to selected frameworks, enriched with crosswalk ma...
n8n-nodes-base.manualtrigger, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.code, n8n-nodes-base.splitinbatches, n8n-nodes-base.set, n8n-nodes-base.merge, n8n-nodes-cyberpulse-compliance-dev.cyberpulsecompliance
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Adnan Tariq.
Original n8n.io sourceWhat this template does
Batch-evaluates compliance controls from Google Sheets using the CyberPulse Compliance API. Each control is scored, mapped to selected frameworks, enriched with crosswalk mappings, and summarized with AI-generated findings and recommendations.
How it works
Read from Sheets → Build control text (response_text + implementation_notes) → CyberPulse Compliance (scoring, mapping, AI summary) → Normalize → Append results to Sheets.
Setup (5–10 min)
Add Google Sheets + CyberPulse HTTP Header Auth credentials.
Replace YOUR_SHEET_ID and sheet names.
Provide your Crosswalk JSON URL (raw GitHub or API endpoint) or use this url: https://www.cyberpulsesolutions.com/xw.json
Select frameworks to evaluate against.
Run a small test, then full batch.
CyberPulse API (required for production)
Use hosted scoring/mapping (no local ML code).
Create a CyberPulse HTTP Header Auth credential with API Key.
In the node: paste Crosswalk URL, select frameworks, set credential.
For large sheets, add a short Wait or reduce batch size.
Input columns
control_id
control_description
response_text
implementation_notes
evidence_url_1 … evidence_url_4
Output columns
status
evaluation
score
confidence
rationale
categories
evidence_count
mapped_count
mapping_flat
frameworks_selected
engine_version
ai_summary
ai_findings (3 per control)
ai_recommendations (3 per control)
Troubleshooting
No rows → check sheet ID and range.
Empty mappings → verify Crosswalk URL.
Write errors → confirm results sheet + permissions.
Learn more about CyberPulse Compliance Agent:
https://www.cyberpulsesolutions.com/solutions/compliance-agent
Start free:
https://www.cyberpulsesolutions.com/pricing
Email: [email protected]
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.
| Workflow | Automated compliance control scoring with CyberPulse, GPT-4o & Google Sheets |
|---|---|
| Complexity | advanced |
| Nodes | 18 |
| Categories | Engineering, AI Summarization |
| Author | Adnan Tariq |
| Published | 09 Oct 2025 |
Use the JSON export at /data/workflows/9397/9397.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
What this template does Batch evaluates compliance controls from Google Sheets using the CyberPulse Compliance API. Each control is scored, mapped to selected frameworks, enriched with crosswalk ma...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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 Engineering, AI Summarization use case.