Aviz Network Copilot Demo with Cody McCain
Why It Matters
Embedding LLM‑driven automation into network operations accelerates incident resolution while preserving security, giving operators a scalable way to modernize legacy infrastructure.
Key Takeaways
- •AI-driven NetOps builds on DevOps, adding predictive automation.
- •Guardrails enforce security context for LLM actions on network devices.
- •Aviz integrates with existing tools like ServiceNow, Arista, Dell switches.
- •Custom agent SDK enables Python developers to create tailored workflows.
- •Role‑based permissions control LLM usage and prevent token‑cost overruns.
Summary
The video demonstrates Aviz Network Copilot, an AI‑powered platform that brings large language models into network operations, showing how it can automate troubleshooting, configuration, and security tasks across multi‑vendor environments.
The presenter explains that AI in NetOps evolves from manual configuration through DevOps to AI, emphasizing guardrails that bind LLM instructions to network‑controller APIs, ensuring actions run under correct user roles. The demo walks through a ServiceNow ticket, root‑cause analysis of unreachable IP, VLAN changes on Arista/Dell switches, and firewall rule inspection, all orchestrated by the copilot.
Notable quotes include “Our job is not to replace existing tools but to enhance them” and “AI can surface data quality issues before you scale”. The platform showcases a private GPT‑OSS 120B model running on‑prem, fine‑grained role permissions, and a Python SDK that lets developers build custom agents leveraging built‑in network domain knowledge.
For enterprises, the solution promises faster mean‑time‑to‑resolution, reduced manual toil, and a path to embed AI while maintaining security and cost controls. By turning analytics into actionable decisions, Aviz positions itself as a bridge between legacy network management suites and next‑gen autonomous operations.
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