This article provides a complete, practical walkthrough of the Filter Rssfeedread Monitor Scheduled 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 Oversight with n8n: A Workflow to Monitor Palo Alto Advisories in Real Time
   
   Meta Description:
   Learn how to streamline threat intelligence workflows using n8n to monitor Palo Alto Networks security advisories. Automatically create Jira tickets and email relevant teams about new advisories.
   
   Keywords:
   n8n workflow, Palo Alto security advisories, automated threat detection, security automation, Jira integration, email alerts, cybersecurity workflows, GlobalProtect, Traps, RSS feed monitoring, SecOps, incident management automation
   
   Third-Party APIs Used:
   
   - Palo Alto Networks RSS Feed (https://security.paloaltonetworks.com/rss.xml)
   - Jira Software Cloud API
   - Gmail API (via OAuth2)
   
   Article:
   
   In today’s rapidly evolving cybersecurity landscape, staying ahead of vulnerabilities is key to maintaining a fortified infrastructure. Security teams often struggle to keep up with the constant influx of vendor advisories, parsing through technical details to determine relevance, and manually notifying stakeholders—a time-intensive process prone to oversight. To address this, an effective automation strategy can supercharge security operations (SecOps). This is where n8n, the open-source workflow automation tool, steps in.
   
   The "Monitor_security_advisories" workflow is a prime example of automation tailored for real-world cybersecurity use cases. Designed to ingest, filter, and respond to Palo Alto Networks security advisories, this workflow ensures that only relevant updates—like those related to GlobalProtect or Traps—are surfaced, investigated, and communicated accordingly.
   
   Let’s walk through the key elements of this workflow, illustrate its utility, and suggest further customization possibilities.
   
   Fetching Real-Time Security Feeds
   
   Every 24 hours at 1:00 AM, the workflow is triggered via a Schedule Node. It initiates a fetch request against the official Palo Alto Security Advisory RSS feed. This feed includes all the latest published vulnerabilities and updates, ensuring data freshness.
   
   Node used: Get Palo Alto Security Advisories (RSS Feed)
   
   Extracting and Parsing Alert Details
   
   Once advisories are pulled, the Extract Info node pulls out critical metadata for each advisory, including:
   
   - Product type (e.g., GlobalProtect, Traps)
   - Subject summary
   - Severity level (parsed and formatted from the advisory title)
   
   This parsing ensures advisories are consistent before being filtered or pushed downstream into other systems.
   
   Filtering Relevant Advisories
   
   Two critical product filters are applied here: one for “GlobalProtect” and another for “Traps.” These filters evaluate whether an advisory title contains each keyword, allowing the organization to focus only on products they deploy in their infrastructure.
   
   This mechanism is highly scalable—you can duplicate the filter node and customize it for additional Palo Alto solutions (e.g., Cortex XDR, Panorama).
   
   Node used: Filter (GlobalProtect advisory?, Traps advisory?)
   
   Deduplication and Recency Check
   
   To prevent redundancy and outdated actions, the workflow contains a temporal filter that checks whether each advisory was published within the last 24 hours. If not, the advisory is routed to a no-op (Ignore, stale advisory) node and discarded from downstream processing. This mechanism ties directly into the workflow’s scheduling logic for clean, streamlined output.
   
   Automated Incident Creation
   
   If an advisory passes the recency and relevancy checks, the system programmatically creates a Jira issue through the Jira Software Cloud API. This issue contains dynamically populated fields:
   
   - Summary (based on parsed advisory title)
   - Description (includes severity, date, and source URL)
   - Priority (can be optionally set depending on severity)
   
   By integrating Jira, the advisory is inserted directly into your incident management lifecycle, enabling security and development teams to take targeted action.
   
   Node used: Create Jira Issue
   
   Dynamic Distribution to Stakeholders
   
   After creating an incident, the workflow extends its utility by notifying affected personnel via email. It retrieves a list of customer or internal stakeholder email addresses from a sample datastore node, which can be easily replaced with a Google Sheet or corporate directory lookup.
   
   Each person receives a personalized email, highlighting the advisory, its impact, and a link to full details. This promotes team awareness and enables quicker response times across the IT and security environments.
   
   Node used: Gmail API (Email customers)
   
   Scalable and Customizable
   
   This workflow is designed with modularity in mind. Developers can:
   - Replace or extend the RSS feed source for other vendors
   - Add more filter nodes for additional products
   - Replace Jira with another incident response platform (e.g., ServiceNow, PagerDuty)
   - Customize the deduplication date logic for weekly or hourly checks
   - Integrate with company asset management systems for contextual risk assessments
   
   Conclusion
   
   Monitoring security advisories doesn't have to be reactive and manual. With tools like n8n, you can create proactive systems that not only filter relevant vulnerabilities but also trigger actions in real time—whether it's logging an incident, notifying the right stakeholders, or scheduling follow-ups.
   
   The “Monitor_security_advisories” workflow showcases how security automation can be both powerful and adaptable. For SecOps teams, this means less time parsing feeds and more time protecting infrastructure.
   
   Security threats evolve quickly—and with the right tools, so can your response.
   
   Try implementing this workflow within your own n8n instance and watch your SecOps efficiency reach new heights.
   
   — Written by your AI Assistant

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.