If you run a SIEM SaaS, EDR platform, vulnerability management tool, or any cybersecurity software product, you already know the irony: your customers trust you to protect their data — but your own internal ops are probably stitched together with fragile cron scripts and manual Slack messages.
This post is for CyberSecurity SaaS vendors — the companies building security platforms — not security teams using tools. (If you want n8n for your SOC or InfoSec ops team, that guide is here.)
Here are 5 production-ready n8n automations for your platform engineering and ops teams — with full import-ready JSON.
Why CyberSecurity SaaS Vendors Self-Host n8n
The argument is stronger here than almost anywhere else:
- Your customer data is the most sensitive data on earth. Routing telemetry, incident payloads, or MSSP customer records through Zapier/Make adds a commercial cloud sub-processor to your data chain — potentially violating your own customer DPAs and SOC 2 controls.
- FedRAMP / CMMC compliance. If you serve federal agencies or DoD contractors, your automation layer must run inside your authorization boundary. Zapier is not FedRAMP authorized. n8n on GovCloud is.
- Volume economics. A mid-size SIEM ingesting 50K security events per hour would cost $43,000/month on Zapier task pricing. Self-hosted n8n on a $40/month VM: zero per-task cost.
- SOC 2 CM-3 change management. n8n workflow JSON is git-versionable — every workflow change is a reviewable commit. That's a direct SOC 2 control.
Workflow 1: Security Telemetry Ingestion Pipeline Monitor
Problem: Your SIEM relies on agent-forwarded log streams. When an agent goes silent or an integration drops, customers lose visibility — and you lose trust. Detecting gaps before customers do is the difference between proactive and reactive support.
What it does: Every 5 minutes, checks each customer's ingestion pipeline for staleness. Fires a Slack alert to your platform team and opens a support ticket if any pipeline goes silent beyond your SLA threshold.
{
"name": "Security Telemetry Ingestion Monitor",
"nodes": [
{"id": "1", "name": "Every 5 Minutes", "type": "n8n-nodes-base.scheduleTrigger",
"parameters": {"rule": {"interval": [{"field": "minutes", "minutesInterval": 5}]}},
"position": [0, 0]},
{"id": "2", "name": "Get Ingestion Pipelines", "type": "n8n-nodes-base.postgres",
"parameters": {"operation": "executeQuery",
"query": "SELECT customer_id, customer_name, pipeline_id, pipeline_name, last_event_at, sla_gap_minutes FROM customer_pipelines WHERE is_active = true ORDER BY last_event_at ASC"},
"position": [200, 0]},
{"id": "3", "name": "Classify Pipeline Status", "type": "n8n-nodes-base.code",
"parameters": {"language": "javaScript", "jsCode": "const items = $input.all();\nconst now = Date.now();\nconst results = [];\nfor (const item of items) {\n const p = item.json;\n const lastSeen = new Date(p.last_event_at).getTime();\n const gapMin = (now - lastSeen) / 60000;\n const sla = p.sla_gap_minutes || 15;\n let status = 'OK';\n if (gapMin > sla * 4) status = 'CRITICAL';\n else if (gapMin > sla * 2) status = 'DEGRADED';\n else if (gapMin > sla) status = 'WARNING';\n if (status !== 'OK') {\n results.push({ json: { ...p, status, gap_minutes: Math.round(gapMin), sla_minutes: sla }});\n }\n}\nreturn results;"},
"position": [400, 0]},
{"id": "4", "name": "Dedup (30 min)", "type": "n8n-nodes-base.code",
"parameters": {"language": "javaScript", "jsCode": "const state = $getWorkflowStaticData('global');\nstate.alerts = state.alerts || {};\nconst now = Date.now();\nconst cooldown = 30 * 60 * 1000;\nconst out = [];\nfor (const item of $input.all()) {\n const key = item.json.pipeline_id;\n if (!state.alerts[key] || now - state.alerts[key] > cooldown) {\n state.alerts[key] = now;\n out.push(item);\n }\n}\nreturn out;"},
"position": [600, 0]},
{"id": "5", "name": "Alert Slack #platform-ops", "type": "n8n-nodes-base.slack",
"parameters": {"resource": "message", "operation": "post",
"channel": "#platform-ops",
"text": "*{{ $json.status }} — Ingestion Gap: {{ $json.customer_name }}*\nPipeline: {{ $json.pipeline_name }}\nSilent for: *{{ $json.gap_minutes }} min* (SLA: {{ $json.sla_minutes }} min)\nCustomer ID: {{ $json.customer_id }}"},
"position": [800, 0]}
],
"connections": {
"Every 5 Minutes": {"main": [[{"node": "Get Ingestion Pipelines"}]]},
"Get Ingestion Pipelines": {"main": [[{"node": "Classify Pipeline Status"}]]},
"Classify Pipeline Status": {"main": [[{"node": "Dedup (30 min)"}]]},
"Dedup (30 min)": {"main": [[{"node": "Alert Slack #platform-ops"}]]}
}
}
Workflow 2: New MSSP / Enterprise Customer Onboarding Drip
Problem: Every new managed security customer needs API keys, agent deployment docs, integration guides, and a CSM check-in. Doing this manually at scale = inconsistent experience and missed activation signals.
What it does: Triggered by a new row in your CRM/Sheets, sends a multi-touch onboarding sequence personalized by customer tier (MSSP / Enterprise / SMB), with CSM Slack alerts when activation milestones are missed.
{
"name": "MSSP/Enterprise Customer Onboarding Drip",
"nodes": [
{"id": "1", "name": "New Customer in CRM", "type": "n8n-nodes-base.googleSheetsTrigger",
"parameters": {"event": "rowAdded", "sheetId": "YOUR_SHEET_ID", "range": "Customers!A:H"},
"position": [0, 0]},
{"id": "2", "name": "Classify Customer Tier", "type": "n8n-nodes-base.code",
"parameters": {"language": "javaScript", "jsCode": "const c = $input.first().json;\nlet tier = 'SMB';\nconst seats = parseInt(c.endpoint_count) || 0;\nif (c.customer_type === 'MSSP' || seats > 5000) tier = 'MSSP';\nelse if (seats > 500) tier = 'ENTERPRISE';\nreturn [{ json: { ...c, tier, ticket_id: 'ONB-' + Date.now() }}];"},
"position": [200, 0]},
{"id": "3", "name": "Day 0 — API Keys + Quickstart", "type": "n8n-nodes-base.gmail",
"parameters": {"resource": "message", "operation": "send",
"toList": "={{ $json.contact_email }}",
"subject": "Welcome to the platform — your API keys and agent quickstart",
"message": "Hi {{ $json.contact_name }},\n\nWelcome! Attached are your API credentials and the agent deployment guide for {{ $json.company_name }} (Tier: {{ $json.tier }}).\n\nYour onboarding ticket: {{ $json.ticket_id }}\n\nYour CSM will reach out within 1 business day.\n\nQuickstart: [link]\n\nBest,\nFlowKit Platform Team"},
"position": [400, 0]},
{"id": "4", "name": "Notify CSM on Slack", "type": "n8n-nodes-base.slack",
"parameters": {"resource": "message", "operation": "post",
"channel": "#csm-queue",
"text": "New {{ $json.tier }} customer onboarded: *{{ $json.company_name }}*\nContact: {{ $json.contact_email }}\nEndpoints: {{ $json.endpoint_count }}\nTicket: {{ $json.ticket_id }}"},
"position": [600, 0]},
{"id": "5", "name": "Wait 3 Days", "type": "n8n-nodes-base.wait",
"parameters": {"amount": 3, "unit": "days"},
"position": [800, 0]},
{"id": "6", "name": "Day 3 — Agent Deployment Check-in", "type": "n8n-nodes-base.gmail",
"parameters": {"resource": "message", "operation": "send",
"toList": "={{ $json.contact_email }}",
"subject": "Checking in — have your agents started reporting?",
"message": "Hi {{ $json.contact_name }},\n\nJust checking in — have you deployed the agents on your endpoints? If you hit any issues, reply here and your CSM will jump in.\n\nCommon first-day questions: [link]\n\nBest,\nFlowKit Platform Team"},
"position": [1000, 0]},
{"id": "7", "name": "Wait 4 Days", "type": "n8n-nodes-base.wait",
"parameters": {"amount": 4, "unit": "days"},
"position": [1200, 0]},
{"id": "8", "name": "Day 7 — First Detection Review", "type": "n8n-nodes-base.gmail",
"parameters": {"resource": "message", "operation": "send",
"toList": "={{ $json.contact_email }}",
"subject": "Your week 1 threat detection summary is ready",
"message": "Hi {{ $json.contact_name }},\n\nYou're one week in! Head to your dashboard to review your first week of detections and tune your alert thresholds.\n\nPlatform: [link]\nDetection tuning guide: [link]\n\nBest,\nFlowKit Platform Team"},
"position": [1400, 0]}
],
"connections": {
"New Customer in CRM": {"main": [[{"node": "Classify Customer Tier"}]]},
"Classify Customer Tier": {"main": [[{"node": "Day 0 — API Keys + Quickstart"}, {"node": "Notify CSM on Slack"}]]},
"Day 0 — API Keys + Quickstart": {"main": [[{"node": "Wait 3 Days"}]]},
"Wait 3 Days": {"main": [[{"node": "Day 3 — Agent Deployment Check-in"}]]},
"Day 3 — Agent Deployment Check-in": {"main": [[{"node": "Wait 4 Days"}]]},
"Wait 4 Days": {"main": [[{"node": "Day 7 — First Detection Review"}]]}
}
}
Workflow 3: CVE & Vulnerability Intelligence Fanout Pipeline
Problem: When NVD publishes a new critical CVE or CISA adds to its Known Exploited Vulnerabilities (KEV) catalog, your platform needs to update detection rules, notify customers with affected assets, and log the response for audit. Manual = too slow.
What it does: Polls NVD and CISA KEV daily, filters for CVEs matching your supported asset types (CVSS >= 7.0 or KEV-listed), routes to your detection engineering team and customer notification queue.
{
"name": "CVE Intelligence Fanout Pipeline",
"nodes": [
{"id": "1", "name": "Daily 7AM", "type": "n8n-nodes-base.scheduleTrigger",
"parameters": {"rule": {"interval": [{"field": "cronExpression", "expression": "0 7 * * *"}]}},
"position": [0, 0]},
{"id": "2", "name": "Fetch NVD Recent CVEs", "type": "n8n-nodes-base.httpRequest",
"parameters": {"url": "https://services.nvd.nist.gov/rest/json/cves/2.0",
"qs": {"pubStartDate": "={{ $now.minus({days: 1}).toISO() }}", "pubEndDate": "={{ $now.toISO() }}", "cvssV3Severity": "CRITICAL"},
"responseFormat": "json"},
"position": [200, -100]},
{"id": "3", "name": "Fetch CISA KEV", "type": "n8n-nodes-base.httpRequest",
"parameters": {"url": "https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json",
"responseFormat": "json"},
"position": [200, 100]},
{"id": "4", "name": "Filter & Classify", "type": "n8n-nodes-base.code",
"parameters": {"language": "javaScript", "jsCode": "const nvdData = $input.item(0)?.json?.vulnerabilities || [];\nconst kevData = $input.item(1)?.json?.vulnerabilities || [];\nconst kevIds = new Set(kevData.map(v => v.cveID));\nconst out = [];\nfor (const v of nvdData) {\n const cve = v.cve;\n const cvssScore = cve.metrics?.cvssMetricV31?.[0]?.cvssData?.baseScore || 0;\n const cveId = cve.id;\n const isKEV = kevIds.has(cveId);\n if (cvssScore >= 7.0 || isKEV) {\n out.push({ json: {\n cve_id: cveId,\n severity: cvssScore >= 9 ? 'CRITICAL' : 'HIGH',\n cvss_score: cvssScore,\n is_kev: isKEV,\n description: cve.descriptions?.[0]?.value || '',\n published: cve.published\n }});\n }\n}\nreturn out;"},
"position": [450, 0]},
{"id": "5", "name": "Alert Detection Engineering", "type": "n8n-nodes-base.slack",
"parameters": {"resource": "message", "operation": "post",
"channel": "#detection-engineering",
"text": "*{{ $json.severity }} CVE: {{ $json.cve_id }}* (CVSS {{ $json.cvss_score }}){{ $json.is_kev ? ' — :rotating_light: CISA KEV Listed' : '' }}\n{{ $json.description }}\nhttps://nvd.nist.gov/vuln/detail/{{ $json.cve_id }}"},
"position": [650, -100]},
{"id": "6", "name": "Log to Postgres", "type": "n8n-nodes-base.postgres",
"parameters": {"operation": "insert", "table": "cve_intelligence_log",
"columns": "cve_id, severity, cvss_score, is_kev, description, published_at, processed_at",
"values": "={{ $json.cve_id }}, {{ $json.severity }}, {{ $json.cvss_score }}, {{ $json.is_kev }}, {{ $json.description }}, {{ $json.published }}, {{ $now.toISO() }}"},
"position": [650, 100]}
],
"connections": {
"Daily 7AM": {"main": [[{"node": "Fetch NVD Recent CVEs"}, {"node": "Fetch CISA KEV"}]]},
"Fetch NVD Recent CVEs": {"main": [[{"node": "Filter & Classify"}]]},
"Fetch CISA KEV": {"main": [[{"node": "Filter & Classify"}]]},
"Filter & Classify": {"main": [[{"node": "Alert Detection Engineering"}, {"node": "Log to Postgres"}]]}
}
}
Workflow 4: Security Compliance & Certification Deadline Tracker
Problem: SOC 2 Type II evidence collection, FedRAMP continuous monitoring, CMMC assessment renewals, ISO 27001 surveillance audits — missing any deadline can cost you enterprise deals and certifications. Tracking in spreadsheets fails.
What it does: Scans your compliance calendar daily and sends escalating alerts (Notice → Warning → Urgent → Critical) to the right people, with audit log entries for each notification.
{
"name": "Security Compliance Deadline Tracker",
"nodes": [
{"id": "1", "name": "Weekdays 8AM", "type": "n8n-nodes-base.scheduleTrigger",
"parameters": {"rule": {"interval": [{"field": "cronExpression", "expression": "0 8 * * 1-5"}]}},
"position": [0, 0]},
{"id": "2", "name": "Load Compliance Calendar", "type": "n8n-nodes-base.googleSheets",
"parameters": {"operation": "readRows", "sheetId": "YOUR_SHEET_ID", "range": "Compliance!A:F"},
"position": [200, 0]},
{"id": "3", "name": "Calculate Urgency", "type": "n8n-nodes-base.code",
"parameters": {"language": "javaScript", "jsCode": "const items = $input.all();\nconst now = Date.now();\nconst out = [];\nconst actionMap = {\n SOC2_EVIDENCE: 'Collect SOC 2 evidence artifacts',\n FEDRAMP_CONMON: 'Submit FedRAMP continuous monitoring report',\n CMMC_ASSESSMENT: 'Schedule CMMC C3PAO assessment',\n ISO27001_AUDIT: 'Prepare ISO 27001 surveillance audit docs',\n GDPR_DPA_RENEWAL: 'Renew Data Processing Agreements with customers',\n PENTEST_ANNUAL: 'Schedule annual penetration test',\n BUG_BOUNTY_REVIEW: 'Quarterly bug bounty program review'\n};\nfor (const item of items) {\n const d = item.json;\n if (!d.deadline_date || d.status === 'COMPLETE') continue;\n const daysLeft = Math.round((new Date(d.deadline_date).getTime() - now) / 86400000);\n let urgency;\n if (daysLeft < 0) urgency = 'OVERDUE';\n else if (daysLeft <= 7) urgency = 'CRITICAL';\n else if (daysLeft <= 21) urgency = 'URGENT';\n else if (daysLeft <= 60) urgency = 'WARNING';\n else if (daysLeft <= 90) urgency = 'NOTICE';\n else continue;\n out.push({ json: { ...d, days_left: daysLeft, urgency, action: actionMap[d.regulation_key] || d.regulation_key }});\n}\nreturn out;"},
"position": [400, 0]},
{"id": "4", "name": "Alert Slack #compliance-ops", "type": "n8n-nodes-base.slack",
"parameters": {"resource": "message", "operation": "post",
"channel": "#compliance-ops",
"text": "*{{ $json.urgency }}: {{ $json.requirement_name }}*\nDue: {{ $json.deadline_date }} ({{ $json.days_left >= 0 ? $json.days_left + ' days left' : 'OVERDUE' }})\nOwner: {{ $json.owner }}\nAction: {{ $json.action }}"},
"position": [600, 0]},
{"id": "5", "name": "Email Owner", "type": "n8n-nodes-base.gmail",
"parameters": {"resource": "message", "operation": "send",
"toList": "={{ $json.owner_email }}",
"subject": "[{{ $json.urgency }}] Compliance deadline: {{ $json.requirement_name }}",
"message": "Hi {{ $json.owner }},\n\nReminder: {{ $json.requirement_name }} is due {{ $json.deadline_date }} ({{ $json.days_left >= 0 ? $json.days_left + ' days' : 'OVERDUE' }}).\n\nRequired action: {{ $json.action }}\n\nCompliance calendar: [link]"},
"position": [600, 200]}
],
"connections": {
"Weekdays 8AM": {"main": [[{"node": "Load Compliance Calendar"}]]},
"Load Compliance Calendar": {"main": [[{"node": "Calculate Urgency"}]]},
"Calculate Urgency": {"main": [[{"node": "Alert Slack #compliance-ops"}, {"node": "Email Owner"}]]}
}
}
Workflow 5: Weekly CyberSecurity Platform KPI Dashboard
Problem: Your CTO, VP of Customer Success, and Head of Detection Engineering each want different metrics every Monday. Building one scheduled report that serves all three saves hours of manual SQL and export work.
What it does: Every Monday morning, pulls this week vs last week platform metrics from Postgres (agent deployments, detection counts, P1 incidents, MRR), computes WoW deltas, and emails a color-coded HTML dashboard to your leadership team.
{
"name": "Weekly CyberSec Platform KPI Dashboard",
"nodes": [
{"id": "1", "name": "Monday 8AM", "type": "n8n-nodes-base.scheduleTrigger",
"parameters": {"rule": {"interval": [{"field": "cronExpression", "expression": "0 8 * * 1"}]}},
"position": [0, 0]},
{"id": "2", "name": "This Week Metrics", "type": "n8n-nodes-base.postgres",
"parameters": {"operation": "executeQuery",
"query": "SELECT COUNT(DISTINCT customer_id) as active_customers, SUM(agent_count) as total_agents, COUNT(DISTINCT detection_id) as total_detections, COUNT(DISTINCT CASE WHEN severity = 'P1' THEN incident_id END) as p1_incidents, SUM(mrr_usd) as mrr FROM platform_weekly_snapshot WHERE week_start >= date_trunc('week', now())"},
"position": [200, -100]},
{"id": "3", "name": "Last Week Metrics", "type": "n8n-nodes-base.postgres",
"parameters": {"operation": "executeQuery",
"query": "SELECT COUNT(DISTINCT customer_id) as active_customers, SUM(agent_count) as total_agents, COUNT(DISTINCT detection_id) as total_detections, COUNT(DISTINCT CASE WHEN severity = 'P1' THEN incident_id END) as p1_incidents, SUM(mrr_usd) as mrr FROM platform_weekly_snapshot WHERE week_start >= date_trunc('week', now()) - interval '1 week' AND week_start < date_trunc('week', now())"},
"position": [200, 100]},
{"id": "4", "name": "Merge", "type": "n8n-nodes-base.merge",
"parameters": {"mode": "combine", "combinationMode": "mergeByPosition"},
"position": [400, 0]},
{"id": "5", "name": "Build HTML Report", "type": "n8n-nodes-base.code",
"parameters": {"language": "javaScript", "jsCode": "const cur = $input.all()[0].json;\nconst prev = $input.all()[1].json;\nconst state = $getWorkflowStaticData('global');\nconst wow = (c, p) => p > 0 ? ((c - p) / p * 100).toFixed(1) : 'N/A';\nconst fmt = (val, prev) => {\n const delta = wow(val, prev);\n const color = delta > 0 ? '#16a766' : delta < 0 ? '#fb4c2f' : '#666';\n return `<td>${val?.toLocaleString()}</td><td style='color:${color}'>${delta > 0 ? '+' : ''}${delta}%</td>`;\n};\nconst html = `<h2>Weekly CyberSec Platform Metrics</h2>\n<table border='1' cellpadding='6'>\n<tr><th>Metric</th><th>This Week</th><th>WoW</th></tr>\n<tr><td>Active Customers</td>${fmt(cur.active_customers, prev.active_customers)}</tr>\n<tr><td>Total Agents Deployed</td>${fmt(cur.total_agents, prev.total_agents)}</tr>\n<tr><td>Total Detections</td>${fmt(cur.total_detections, prev.total_detections)}</tr>\n<tr><td>P1 Incidents</td>${fmt(cur.p1_incidents, prev.p1_incidents)}</tr>\n<tr><td>MRR ($)</td>${fmt(cur.mrr, prev.mrr)}</tr>\n</table>`;\nreturn [{ json: { html, ...cur }}];"},
"position": [600, 0]},
{"id": "6", "name": "Email Leadership", "type": "n8n-nodes-base.gmail",
"parameters": {"resource": "message", "operation": "send",
"toList": "cto@yourcompany.com",
"bccList": "vp-cs@yourcompany.com, head-detection@yourcompany.com",
"subject": "Weekly Platform KPIs — {{ $now.toFormat('MMM d, yyyy') }}",
"htmlBody": "={{ $json.html }}"},
"position": [800, 0]}
],
"connections": {
"Monday 8AM": {"main": [[{"node": "This Week Metrics"}, {"node": "Last Week Metrics"}]]},
"This Week Metrics": {"main": [[{"node": "Merge"}]]},
"Last Week Metrics": {"main": [[{"node": "Merge"}]]},
"Merge": {"main": [[{"node": "Build HTML Report"}]]},
"Build HTML Report": {"main": [[{"node": "Email Leadership"}]]}
}
}
The Self-Hosted Advantage: CyberSec SaaS vs Zapier/Make
| Factor | n8n (self-hosted) | Zapier / Make |
|---|---|---|
| Customer telemetry routing | Stays in your VPC | Routes through commercial cloud |
| FedRAMP authorization | Deployable in GovCloud boundary | Not FedRAMP authorized |
| CMMC compliance | Inside authorization boundary | Outside — disqualifying |
| SOC 2 CM-3 change mgmt | Workflow JSON is git-versionable | No audit trail for changes |
| CISA KEV polling | Free, unlimited | Per-task cost at volume |
| Pricing at 50K events/hr | ~$40/mo VPS | ~$43,000/mo |
| Customer DPA / sub-processor | n8n GmbH only | Zapier + all Zapier sub-processors |
Get the Complete FlowKit Template Pack
These 5 workflows are representative of the 15-template library available at stripeai.gumroad.com — ready-to-import n8n workflow JSON for SaaS teams, ops managers, and automation engineers.
If you're building a cybersecurity platform, the Email Auto-Responder, Customer Feedback Analyzer, Lead Capture to CRM, AI Customer Support Bot, and Daily Report Generator templates map directly to platform ops and customer success workflows.
Questions? Drop a comment below — I read all of them.
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