Network Troubleshooting With AI
Network
AI can explain BGP or VLAN config. It doesn't know your physical topology, your vendor mix, or 'that switch is end-of-life.' You do.
Sysadmin
AI suggests firewall rules and routing. It doesn't know your security zones or what's in the DMZ. Verify against your actual config.
Network Troubleshooting With AI
TL;DR
- AI can explain network concepts, suggest config fixes, and interpret traceroutes or packet captures — when you give it the right input.
- AI doesn't know your physical topology, vendor quirks, or "that link has been flaky for weeks."
- Use AI for interpretation and ideas. You own the actual config and the "what's different about our environment?"
Network folks have a lot of tribal knowledge. AI can help with the textbook stuff. The tribal part? Still you.
Where AI Helps
Config Explanation and Syntax
Prompt: "Explain this BGP config." or "What does this Cisco ACL do?"
What you get: Plain-English explanation. Syntax breakdown. Often accurate for standard configs.
Caveat: Vendor-specific extensions, deprecated syntax, or "we use this in a non-standard way" — AI might not know. Verify.
Error Message Interpretation
Prompt: "I'm seeing 'connection refused' on port 443. What could cause this?"
What you get: Firewall, service not listening, wrong port, etc. Standard troubleshooting tree.
Why it helps: AI has seen thousands of these. Good for jogging your memory or for junior folks learning.
Traceroute and Packet Capture
Prompt: "This traceroute stops at hop 5. What does that mean?"
What you get: Possible causes. Maybe ICMP blocked. Maybe routing loop. Maybe MTU. Reasonable hypotheses.
What you add: "Hop 5 is our edge router and we've had issues with it." Context. AI doesn't have it.
Where AI Falls Short
Your Topology
- AI doesn't know your physical layout. Which links are redundant? Which are oversubscribed? Which device is the choke point?
- "Add a route." — Where? Through which path? AI suggests generic. You know your fabric.
Vendor and Hardware Quirks
- Cisco vs. Juniper vs. Arista: Syntax differs. AI might mix them. Always verify the platform.
- "This command should work." — On what version? Some features are version-specific. AI training data has a cutoff.
Security and Policy
- "Open this port." — Do you have a change control process? A security review? AI suggests. You navigate the org.
- "Allow this CIDR." — Is that consistent with your zoning? Your compliance? AI doesn't know your policy.
Historical Context
- "Why is this link slow?" — Maybe it's been problematic for months. Maybe a recent change caused it. AI doesn't have your ticket history or your institutional memory.
How to Use AI for Network Work
- Use AI for interpretation. Paste configs, errors, traceroutes. Get explanations and hypotheses.
- Never paste credentials or internal IP ranges you wouldn't want leaked. Sanitize. Use placeholders.
- Verify suggestions against your environment. "Add this static route" — does it conflict with OSPF? With your redundancy design? You know; AI doesn't.
- Use AI to teach, not to apply. For juniors, AI can explain BGP or VLANs. The actual changes? Human review.
Quick Check
AI explains a BGP config and suggests 'Add this static route.' What's the risk?
You stare at the traceroute. Look up error codes. Check vendor docs. Maybe ask a senior. Hours of troubleshooting.
Click "With AI" to see the difference →
Do This Next
- Paste one real (sanitized) error or config to AI. Get an explanation. How accurate was it? What would you add?
- Document one "AI doesn't know" fact about your network — topology, vendor, or historical issue. Use it to validate AI output.