Automate Network Audits with GitHub and Slack Alerts

Automate Your Network Audits with Seamless GitHub and Slack Integration

Tired of the manual grind involved in network audits? Streamline the entire process with our advanced n8n automation workflow, specifically designed to integrate with GitHub for pulling network report queries, utilizing AI Agents with Cisco pyATS MCP tools for comprehensive infrastructures audit, and sending timely alerts directly to your Slack channel. Maximize efficiency while minimizing risk with automated issue identification and tracking.

What this Workflow Does

• Operates either on a set schedule or when launched manually, giving you flexibility and control.
• Fetches a list of report query `.txt` files from your designated GitHub repository, processing them iteratively.
• For each query, retrieves the query file and the corresponding reporting agent prompt from GitHub.
• Deploys a Reporting AI Agent, armed with a read-only Cisco pyATS MCP tool, to query network devices and craft a precise, structured report.
• Saves and organizes the generated reports in a Markdown format on GitHub, while capturing report URLs and relevant tags.
• Uses a Ticketing AI Agent to evaluate whether a report necessitates the creation of a GitHub issue, which it then automates when required.
• Dispatches a Slack notification card containing the report link and, if relevant, the GitHub issue link, before advancing to the subsequent query file.

Use Cases

• Security Audits: Automatically conduct and document security assessments of network devices.
• Continuous Monitoring: Schedule regular network checks that auto-notify your team of potential issues.
• Collaboration Enhancement: Simplify issue handling by linking audit results directly with corresponding GitHub issues, with live updates on Slack.

Technical Details

• Integrates with: GitHub for repository management, Slack for notifications.
• Uses Nodes: if, code, merge, slack, github, sticky note.
• AI Tools Required: Cisco pyATS MCP tool for read-only device interaction, LLM API for AI agents.