Analyze network device configurations in GitHub using the AI Agent action

See how Tines automates network device security audits by pulling configuration files directly from GitHub and routing them through specialized AI agents that identify vulnerabilities, misconfigurations, and hardening opportunities - all without manual review.

What you'll see:

• A user visits a Page to kick off the analysis flow
• Tines fetches all device config files from a GitHub repo via an HTTP Request
• A second Page presents an alphabetical list of available devices for the user to select
• The workflow routes the selected config to the appropriate AI agent based on device type (firewall vs. router/switch)
• The AI agent analyzes the config and generates a prioritized security report with passed checks, identified risks, and actionable recommendations
• Results are displayed on a final Page, then the user is redirected back to start to analyze another device
• A separate AI chat agent is available for interactive, conversational analysis of any device config

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Perfect for:

• Network Security Engineers: Auditing firewall rule bases and router configs for misconfigurations without manually reviewing hundreds of lines
• Security Operations teams: Running on-demand configuration reviews when responding to a potential network-related incident
• IT Compliance teams: Checking device configs against security standards like Cisco hardening guidelines and flagging gaps before an audit
• Network Administrators: Quickly reviewing a newly deployed device's configuration before it goes into production

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Requirements:

• GitHub — repository containing your network device configuration files (.txt or similar)
• GitHub credential — Personal Access Token configured in Tines
• GitHub resources — GitHub username and repository name stored as Tines Resources
• AI enabled in your Tines tenant (used by the LLM actions)
• Pages enabled in your Tines tenant
• Device configs should be stored as individual files, one per device, named by device name