This article provides a complete, practical walkthrough of the Wait Schedule Create Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automating Security Operations: How This n8n Workflow Integrates CrowdStrike, VirusTotal, Jira, and Slack
   
   Meta Description:
   Discover how this n8n workflow automates the detection, enrichment, and incident response process by integrating CrowdStrike with VirusTotal, Jira, and Slack. Boost your SecOps efficiency with timely alerts, enriched threat intelligence, and seamless task tracking.
   
   Keywords:
   n8n, cybersecurity automation, SecOps, CrowdStrike, VirusTotal, Jira ticketing, Slack alerts, threat intelligence, incident response workflow, IOCs, SHA256, detection enrichment, automation pipeline, security orchestration, remediation automation
   
   List of Third-Party APIs Used:
   1. CrowdStrike Falcon API – for retrieving detection alerts and details
   2. VirusTotal API – for scanning and enriching indicators of compromise (IOCs) like sha256 hashes
   3. Jira Software Cloud API – for creating and tracking security incident tickets
   4. Slack API – for notifying security personnel about new detections
   
   Article:
   
   Automating Cyber Threat Detection and Response with n8n
   
   In security operations (SecOps), time is critical. Rapidly identifying, analyzing, and responding to detected cyber threats is often the difference between containment and catastrophe. Despite this urgency, many teams still face manual bottlenecks when it comes to handling new alerts, enriching threat data, and communicating with their teams.
   
   Enter the power of automation. This article breaks down a streamlined n8n workflow that automates key parts of the threat response lifecycle—using CrowdStrike, VirusTotal, Jira, and Slack—to help SecOps teams act faster, smarter, and more efficiently.
   
   Let’s unpack how this powerful workflow works.
   
   Daily Trigger: Pulling Fresh Threats from CrowdStrike
   
   At the core of this workflow lies a Scheduled Trigger node that executes once a day, typically at midnight. It initiates the process by making an HTTP request to CrowdStrike’s Falcon API, specifically querying for new detection events with status "new."
   
   These detections (up to hundreds depending on the environment) are returned as an array and immediately routed into a splitter node named “Split out detections.” This ensures that each detection is processed independently, maximizing precision and control at every stage.
   
   Gathering Rich Detection Data
   
   After queueing each detection for individual handling, detailed context is pulled for each detection from CrowdStrike using another HTTP request that references the detection ID.
   
   This step returns critical metadata such as hostname, local and external IP addresses, operating system version, and—most importantly—the list of detected malicious behaviors. These behaviors include observable artifacts such as file hashes (SHA256), process names, command-line executions, and detection confidence scores.
   
   Enriching IOCs with VirusTotal
   
   With behavioral data in hand, the workflow leverages the VirusTotal API to enrich each detection further. These lookups focus on:
   
   - SHA256 file hashes (for file behavior analysis)
   - Associated indicators of compromise (IOCs), if present
   
   A deliberate 1-second pause is added between requests to stay compliant with VirusTotal's API rate limits, a crucial element for maintaining reliability.
   
   The output from VirusTotal includes valuable context such as the file's creation date, antivirus scan results, detection reputation, and file tags like “mimikatz,” “hacktool,” or “trojan,” all of which help analysts assess the risk more thoroughly.
   
   Summarizing Detection Details
   
   Using n8n’s “Set” and “Merge” nodes, the workflow combines all this raw enrichment data into a structured Markdown table. This table includes:
   
   - Detection link to CrowdStrike
   - Severity and confidence score
   - File and user metadata
   - VirusTotal scan report
   - Relevant tags and IOC details
   
   By summarizing data across multiple behaviors, it creates a unified description ideal for reporting and ticketing purposes.
   
   Creating an Actionable Jira Ticket
   
   Next, the workflow creates an issue in Jira under a predefined project. The ticket captures both the high-level alert metadata (severity, affected host, platform, IP addresses) and the enriched behavior details from VirusTotal.
   
   This ticket acts as a central point for incident tracking and response, ensuring security professionals can assign and monitor resolution activities within their regular workflow.
   
   Notifying the Security Team via Slack
   
   To close the loop, a message is sent via Slack once a new Jira ticket is created. The alert includes the severity level, the affected device hostname, and a hyperlink to the Jira issue for seamless access.
   
   This proactive notification minimizes the lag between detection and human response, extending the benefit of automation to real-time awareness.
   
   Why This Workflow Matters
   
   Security teams today are inundated with alerts and overwhelmed by the complexity of manual incident investigation. This n8n-powered automation reduces that load by:
   
   - Automatically fetching and dissecting threat detections
   - Enriching data with external intelligence from VirusTotal
   - Turning insights into action with auto-tracked Jira tasks
   - Providing immediate visibility through Slack notifications
   
   And it does all this without sacrificing context or data fidelity.
   
   With minimal code and maximum impact, this no-code automation bridges the gap between detection and action, unifying tools that security teams already use and love.
   
   Conclusion
   
   This n8n workflow exemplifies the best of modern SecOps practices: automation, integration, and intelligence. By linking CrowdStrike's robust detection engine with VirusTotal’s global threat intelligence, Jira’s task management, and Slack’s communication channel, it builds a holistic pipeline that supports quick, informed responses to cyber threats.
   
   For teams looking to increase efficiency, reduce mean time to response (MTTR), and improve incident transparency, workflows like this are not just helpful—they're essential.
   
   Welcome to SecOps automation done right.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.