How Network Copilot Uses Agentic AI to Correlate FortiGate and Splunk

I recently went through a detailed implementation explaining how Network Copilot correlates FortiGate firewall telemetry with operational data indexed in Splunk. What stood out was how grounded the discussion was in real operational workflows rather than theoretical AI claims.

Some practical observations:

• Network and security logs are typically distributed across multiple platforms
• Troubleshooting often requires manually correlating events between systems
• Network Copilot ingests metrics, events, logs, and traces from firewall environments
• Operators can interact with the system using natural language questions
• Explainable root cause analysis improves operational confidence

One misconception addressed during the walkthrough was that AI in operations means replacing engineers. In reality, the system augments teams by surfacing insights faster and correlating information across environments.

Another interesting point was how the platform learns from real firewall deployments rather than synthetic lab scenarios.

My biggest takeaway is that AI becomes operationally valuable when it connects enforcement systems like firewalls with analytics platforms such as Splunk into a single workflow.

Curious to hear how others are approaching observability at this scale. Can share the deeper technical walkthrough if helpful.