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Aviz Networks introduces the AI Networking Operations Center (NOC), a vendor-neutral, agentic AI platform designed to transform traditional network management. Unlike tools that merely append a Large Language Model (LLM) to an existing product, Aviz provides a private, secure, and interoperable framework that integrates with a customer’s existing ecosystem. The platform is built on the FITS principles, Freedom, Integration, Tailorability, and Security, ensuring that enterprises can leverage AI without compromising data privacy or being locked into a specific hardware vendor or software controller.
Thomas Scheibe and Cody McCain emphasize that while the industry often markets AI as a simple natural language interface, the real challenge lies in the complex backend workflows of network operations. Aviz addresses this by acting as a Red Hat for networking, providing professional support and software for open-source options like SONiC while maintaining compatibility with legacy systems from Cisco, Arista, and NVIDIA. Their approach focuses on the Agentic power of AI, where modular agents can be customized to handle specific organizational workflows, moving beyond vendor-defined constraints to meet the unique operational needs of each customer.
To demonstrate the platform’s practical utility, the speakers showcase a physical lab environment featuring a heterogeneous mix of switches, firewalls from Fortinet and Palo Alto, and various management tools. By interfacing directly with devices and disparate data sources, such as config logs, flow data, and ticketing systems, the AI NOC streamlines root cause analysis and automates responses. This architecture allows companies to transition complex tasks typically reserved for expert engineers during maintenance windows into automated functions that can be managed by Tier 1 or Tier 2 support, significantly increasing operational efficiency.
Personnel: Cody McCain, Thomas Scheibe
Watch on YouTube
Watch on Vimeo
Aviz Networks introduces the AI Networking Operations Center (NOC), a vendor-neutral, agentic AI platform designed to transform traditional network management. Unlike tools that merely append a Large Language Model (LLM) to an existing product, Aviz provides a private, secure, and interoperable framework that integrates with a customer’s existing ecosystem. The platform is built on the FITS principles, Freedom, Integration, Tailorability, and Security, ensuring that enterprises can leverage AI without compromising data privacy or being locked into a specific hardware vendor or software controller.
The presentation features a deep dive into the practical application of Aviz’s Network Copilot, emphasizing its role in accelerating root cause analysis (RCA) and achieving mean time to innocence. By integrating with tools like ServiceNow, the platform can automatically process inbound tickets, extract metadata like destination IPs, and query heterogeneous environments, including Arista, Cisco, and SONiC switches, without requiring the operator to know vendor-specific CLI commands. The system utilizes Agentic workflows where specialized agents, such as those for firewall log analysis or VLAN management, work hierarchically to solve complex issues. This approach allows frontline support staff to handle advanced troubleshooting tasks that previously required expert intervention, while maintaining a human-in-the-loop requirement for critical configuration changes.
Security and data integrity serve as the foundation of the Aviz architecture, with the platform offering the flexibility to run private, on-premise LLMs like the GPT-OSS 120B to prevent data leakage. The speakers highlight that the platform is designed with robust role-based access control (RBAC) and guardrails to prevent hallucinations or unauthorized actions, such as deleting global VLANs. Furthermore, the AI NOC addresses data hygiene by using AI to identify inconsistencies across disparate databases like IPAM and NetBox. By providing a Python-based SDK, Aviz enables organizations to build custom agents that mirror their specific business processes, ultimately moving network operations toward a more proactive, automated, and predictable future.
Personnel: Cody McCain, Thomas Scheibe
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