What is Engineering automation?

Engineering automation is the use of technology and software to perform tasks and processes in engineering that were traditionally done manually. It aims to enhance efficiency, accuracy, and consistency while reducing the time and resources needed for engineering tasks. This can include everything from computer-aided design (CAD) to robotic process automation in manufacturing.

What are some examples of Engineering workflows in n8n?

Common Engineering workflow examples are automated testing pipelines, infrastructure monitoring, and CI/CD processes. These workflows can include steps for triggering automated tests, deploying applications, and monitoring system health, ensuring efficiency and consistency across the engineering teams. Integrating tools like GitHub, Jenkins, and Kubernetes can further enhance these workflows in n8n.

Can n8n integrate with my existing Engineering tools?

Definitely! n8n offers a wide range of integrations with various engineering tools, allowing seamless connectivity and automation. You can easily connect with popular applications and services used in engineering via n8n's pre-built nodes or through custom API calls. This ensures that your workflows are efficient and tailored to your specific engineering needs.

How do I get started with Engineering automation using n8n?

To get started with Engineering automation using n8n, you can explore the available workflow templates specifically designed for Engineering operations. These templates provide a foundation that you can customize to meet your specific needs. Additionally, n8n's extensive documentation and community support can help guide you through the process of building and optimizing your Engineering workflows. The easiest way to start is to sign up for the n8n Cloud: a hosted solution, no need to install anything. Or go with the self-hosted version right away: a recommended method for full-control or customized use cases.

How secure are the workflows created in n8n?

n8n is designed with security in mind, offering features such as encrypted data transfers, secure credential storage, RBAC functionality, and compliance with industry-standard security practices (SOC2 compliant). For hosted plans, data is stored within the EU on servers located in Frankfurt, Germany. Additionally, you can run n8n in your own secure environment, ensuring that your workflows and data remain under your control.

How does n8n’s pricing model benefit me when automating Engineering workflows?

n8n’s pricing model is designed to be both affordable and scalable, which is particularly beneficial when automating Engineering workflows. Unlike other platforms that charge per operation or task, n8n charges only for full workflow executions. This means you can create complex Engineering workflows, involving thousands of tasks or steps, without worrying about escalating costs. For example, if your Engineering workflows perform around 100k tasks, you could be paying $500+/month on other platforms, but with n8n's pro plan, you start at around $50. This approach allows you to scale your Engineering workflows efficiently while maintaining predictable costs.

Top 156 Engineering automation workflows

Newcomer essentials: learn by doing

Creating an API endpoint

Task: Create a simple API endpoint using the Webhook and Respond to Webhook nodes Why: You can prototype or replace a backend process with a single workflow Main use cases: Replace backend logic with a workflow

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Automate SIEM Alert Enrichment with MITRE ATT&CK, Qdrant & Zendesk in n8n

This workflow is ideal for: Cybersecurity teams & SOC analysts* who want to automate *SIEM alert enrichment**. IT security professionals* looking to integrate *MITRE ATT&CK intelligence** into their ticketing system. Organizations using Zendesk for security incidents* who need enhanced *contextual threat data**. Anyone using n8n and Qdrant* to build *AI-powered security workflows**. Security teams receive large volumes of raw SIEM alerts that lack actionable context. Investigating every alert manually is time-consuming and can lead to delayed response times. This workflow solves this problem by: ✔ Automatically enriching SIEM alerts with MITRE ATT&CK TTPs. ✔ Tagging & classifying alerts based on known attack techniques. ✔ Providing remediation steps to guide the response team. ✔ Enhancing security tickets in Zendesk with relevant threat intelligence. 1️⃣ Ingests SIEM alerts (via chatbot or ticketing system like Zendesk). 2️⃣ Queries a Qdrant vector store containing MITRE ATT&CK techniques. 3️⃣ Extracts relevant TTPs (Tactics, Techniques, & Procedures) from the alert. 4️⃣ Generates remediation steps using AI-powered enrichment. 5️⃣ Updates Zendesk tickets with threat intelligence & recommended actions. 6️⃣ Provides structured alert data for further automation or reporting. n8n instance** (Cloud or Self-hosted). Qdrant vector store** with MITRE ATT&CK data embedded. OpenAI API key** (for AI-based threat processing). Zendesk account** (for ticket enrichment, if applicable). Clean Mitre Data Python Script Cleaned Mitre Data Full Mitre Data 1️⃣ Embed MITRE ATT&CK data into Qdrant This workflow pulls MITRE ATT&CK data from Google Drive and loads it into Qdrant. The data is vectorized using OpenAI embeddings for fast retrieval. 2️⃣ Deploy the n8n Chatbot The chatbot listens for SIEM alerts and sends them to the AI processing pipeline. Alerts are analyzed using an AI agent trained on MITRE ATT&CK. 3️⃣ Enrich Zendesk Tickets The workflow extracts MITRE ATT&CK techniques from alerts. It updates Zendesk tickets with contextual threat intelligence. The remediation steps are included as internal notes for SOC teams. 🔧 Modify the chatbot trigger: Adapt the chatbot node to receive alerts from Slack, Microsoft Teams, or any other tool. 🔧 Change the SIEM input source: Connect your workflow to Splunk, Elastic SIEM, or Chronicle Security. 🔧 Customize remediation steps: Use a custom AI model to tailor remediation responses based on organization-specific security policies. 🔧 Extend ticketing integration: Modify the Zendesk node to also work with Jira, ServiceNow, or another ITSM platform. ✅ Saves time: Automates alert triage & classification. ✅ Improves security posture: Helps SOC teams act faster on threats. ✅ Leverages AI & vector search: Uses LLM-powered enrichment for real-time context. ✅ Works across platforms: Supports n8n Cloud, Self-hosted, and Qdrant. 📖 Watch the Setup Video 💬 Have Questions? Join the Discussion in the YouTube Comments!