FAQs

Network Copilot is a platform which is fully programmable to bring your own workflows to harness the power of AI as utility, some of our customers are using it for:

• Automate network compliance and security audits
• Detect and correlate anomalies across multi-vendor environments
• Power unified dashboards with one AI layer
• Speed up troubleshooting by eliminating manual CLI and log digging
• Handle repetitive L1/L2 support tickets automatically
• Forecast capacity and predict failures before they happen
• Bring your own work flow

AI isn't something you buy as a sealed black box — it's something you shape. Network Copilot™ comes with Aviz AI Engineers who:

• Fine-tune the platform for your specific network and operational needs
• Build and train custom AI agents for your workflows
• Coach your team on AI-powered NetOps so you can keep evolving in-house
• Bridge the skill gap between "we have AI" and "we use AI every day"

Most AIOps platforms were built before LLMs, relying on expensive, proprietary algorithms. Network Copilot™ was born in the LLM era — leveraging massive advances in open-source AI to deliver faster correlation, prediction, and troubleshooting.

• No AI tax — you're not paying for closed, outdated models.
• Future-proof — as new LLMs launch, capabilities improve instantly.
• Commodity hardware advantage — GPU performance keeps improving, lowering cost per inference.
• Native LLM networking expertise — solving real use cases sitting with your team

AI Agents are purpose-built, network-specific workflows that run on top of Network Copilot™. Each agent is designed to:

• Harness the power of LLMs to query and correlate data from multiple tools, infrastructure elements, and applications
• Execute a precise, pre-defined network operation
• Deliver the exact, expected outcome — reliably and repeatably

Instead of relying on closed, proprietary algorithms like legacy AIOps platforms, Aviz AI Agents embrace an agentic AI model: open, programmable, and tailored for networking. You can even write your own agent — extending Network Copilot™ with your custom workflows — and our engineers can help design, fine-tune, and integrate them seamlessly.

AI Agents keep your AI-powered operations clean, focused, and modular. While a general-purpose AI can summarize logs or highlight anomalies, real network operations require structured workflows that know exactly what to check, change, or confirm. Some Examples of what you can do with AI Agents:

• Run everyday network tasks (e.g., full end-to-end ping verification)
• Check network compliance automatically
• Generate audit reports on demand
• Validate firewall rules in seconds
• Automate Level 1 support responses
• Perform correlation and prediction for capacity and performance

In short: you can use any of the agents Aviz has built for you, write your own custom agent, or integrate AI Agents into the workflow automation you already have. The idea is to keep it modular and simple — while the Network Copilot™ platform handles all the complexity.

AI assistants can save your team a lot of time by automating routine, repetitive tasks. This frees up your team from mundane work like config automation, basic report generation, answering common questions, and identifying root cause analysis for faster MTTR. They also provide faster access to information and reduce errors, contributing to overall efficiency. Aviz Networks Copilot (NCP) is an AI assistant specifically for network teams. It helps save operational time by providing quick insights into your network, helping to identify the root cause of the problem for faster MTTR.

Yes. Absolutely. There are two ways things go wrong 1. what you put is what you get - so data pipelines and the data sanity is critical. we build data ingestion pipeline to help normalize/aggregate sanity. Secondly models hallucinates, thats where our Agentic architecture and RAG approaches help to reduce it.

AI measurably boosts enterprise network teams by Speeding up issue resolution, Increasing efficiency by automating tasks, Improving reliability and Enhancing security by detecting threats faster and reducing breach response times. Aviz Networks delivered these benefits by automating large scale configs and use Network Copilot directly to have real-time insights, Anomaly detection, network optimization and identifying root cause analysis without compromising on the data privacy.

An AI assistant won't necessarily eliminate the need for network engineers, but it will fundamentally change their roles and significantly reduce the need for linear headcount growth as network complexity continues to surge. It enables organizations to do more with the same or even fewer people, leading to greater efficiency, resilience, and agility in network operations. Solutions such as Aviz's Network Copilot act like a force multiplier for your network team. They let your current staff manage a much more complex network more effectively, reducing the pressure to hire more people as your network grows.

Aviz AI can assist in a couple of key areas: Networks for AI: We can automate network configurations and test them after deployment in production using Aviz FTAS (Fabric Test Automation Suite). AI for Networks: Our Assistance Network Co-Pilot helps organizations translate their goals of automation and efficiency into actionable steps. This enables network operations to be more intelligent and efficient by facilitating tasks such as root cause analysis, anomaly detection, and improving Mean Time to Resolution (MTTR).

Implementing an AI networking assistant involves a critical cost-benefit analysis. While there are upfront costs, the long-term benefits in terms of efficiency, reduced operational expenses, and improved network performance typically offer a compelling return on investment (ROI). Aviz's offerings help you get the benefits of AI networking (automation, efficiency, security) with a managed, supportable solution that reduces the complexities and risks often associated with adopting cutting-edge open-source technologies. This positions them to deliver a strong positive ROI for organizations looking to modernize their network operations with AI.

Integrating an AI assistant with existing IT Service Management (ITSM) and Network Operations Center (NOC) workflows is crucial for realizing its full benefits. The goal is not to replace these systems, but to augment and automate them, making them more intelligent and efficient. Aviz Network Copilot is designed to enable efficient data ingestion and streamlined communication across various platforms. The following overview highlights the key components supporting our messaging, notifications, and data ingestion pipeline.

While AI offers transformative benefits for network operations, its implementation isn't without potential risks. A thorough understanding of these risks and robust mitigation strategies are crucial for successful and secure adoption. Some of the potential risks of using AI in network operations such as Privacy and Data Governance Concerns, Integration Complexity, Robust AI Security Measures. Aviz's Network Copilot, brings clear benefits by significantly boosting automation and efficiency in network operations. While there are initial costs for software, integration, and training, these are quickly offset by major savings. The AI reduces the need to hire more staff as the network grows, minimizes expensive human errors, speeds up troubleshooting (cutting costly downtime), and strengthens security by proactively detecting threats. Aviz enhances this by offering easy-to-use, AI-driven tools that integrate with existing systems, automate routine tasks, and provide fast, actionable insights, ensuring a strong return on investment by letting your current team manage more complex networks far more effectively.

Yes, absolutely. Network Copilot can integrate to your ITSM ticketing tool such Zendesk, service now and jira. which help to raise tickets whenever there is a outage, anomaly detection and helps to identify the root cause for the issue happens on the network.

An AI assistant improves over time by constantly analyzing vast amounts of real-time network data (like performance, configurations, logs, and traffic flows) to learn your network's normal behavior, spotting anomalies, and receiving feedback from your team on its accuracy, which is then used to refine its underlying models and develop new capabilities; Aviz specifically enables this through its ONES platform, which centralizes and cleanses all your diverse network data into a local LLM along with the data ingestion from different data sources such Elastic, Splunk, AWS data lake, etc.., providing the high-quality input essential for its Network Copilot AI to continuously learn and personalize insights for your unique environment.

Yes, absolutely. Network Copilot can integrate to your NSM and ITSM ticketing tool such Zendesk, service now and jira. which help to raise tickets whenever there is a outage, anomaly detection and helps to identify the root cause for the issue happens on the network.

You need a specific set of hardware and software requirement spinup a AI (The Local LLM) on your environment. Aviz network copilot is a vendor agnostic platform, where you can ingest data from multiple sources such as SNMP, Sflow, GNMI and from different data sources.

Aviz Network Copilot solution is private AI, customer no need to worry about data sovereignty. LLM calls stays at their premises and data stays at their infra so worry et all.

Aviz provides the plumbing (ONES) to collect and organize all the necessary network data, and then layers the AI (Network Copilot) on top to intelligently analyze and act upon that data. This integrated approach ensures the AI assistant has the high-quality, comprehensive data it needs to be truly effective in network operations.

NCP is micro service based and complete software solution, provides migration and upgrade process shared with customer. To specific environments- NCP provide various options onboarding data connectors, knowledge bases, projects and RBAC to customers their environment. Since it is software and scalable solution customer can deploy it on hardware of choice and choice of LLM as well.

Deploying any AI assistant in a network, especially one that processes sensitive operational data, comes with significant security implications. These concerns are amplified with cloud-based LLMs due to data transit and third-party control.Security Implications of Deploying an AI Assistant in Your Network including Data Privacy, Confidentiality, Increased Attack Surface, Compliance, Regulatory Risks and Lack of Visibility and Control. Aviz Network Copilot addresses these concerns primarily by leveraging a local LLM deployment model and focusing on enterprise-grade security within that framework directly into your secure network environment. This "local LLM" approach fundamentally minimizes the data privacy risks associated with sending sensitive network operational data to external, cloud-based AI services, while still providing the benefits of AI-driven insights.

ONES integrates directly with Spectrum-X and Cumulus, as per the reference architecture. Turn your NVIDIA Spectrum-X into a truly AI-ready fabric. ONES adds multi-tenant awareness, end-to-end telemetry, and day 0–2 operational control — boosting GPU utilization and reducing management complexity. It provides

• Multi-Tenant Orchestration: Allocate and manage GPU fabric resources across teams or workloads.
• Unified Telemetry: Metrics from GPUs, DPUs, and network switches in real time.
• Full Lifecycle Ops: Automate and control Day 0 deployment, Day 1 configuration, and Day 2 monitoring/troubleshooting — all through open GUI and APIs.

Spectrum-X is very powerful — and with ONES, you can harness that power at the tenant level for:

• Tenant Isolation & Fair Usage: Prevent resource hogging across AI workloads.
• AI Fabric Visibility: See GPU, DPU, and network health in one dashboard.
• Future-Proof Scalability: Be ready to expand Spectrum-X deployments without re-architecting operations.

FTAS is essential for production-ready SONiC deployment validation and continuous quality assurance.

FTAS lets you test and compare multiple SONiC solutions automatically — no extra staff, no long setup times. You get reliable, repeatable results fast, making Proof of Concept (POC) projects quick, accurate, and stress-free.

SONiC moves fast — and so does FTAS. With every new release or platform, we run continuous quality checks so your network performance keeps improving without sacrificing stability. You stay ahead, not stuck catching up.

FTAS fits directly into your CI/CD pipeline, running full regression tests before you upgrade. That means you know in advance if changes will break anything — making upgrades predictable, smooth, and drama-free.

With FTAS, quality starts early. We work directly with SONiC vendors to embed high standards in the design phase, not after launch. This "shift left" approach reduces future bugs, lowers costs, and ensures your network is built right from the start.

With ONES, you get built-in orchestration, observability, real-time monitoring with 24x7 Support — giving SONiC the same (or better) operational visibility you expect from proprietary NOS platforms.

Yes. ONES merges community SONiC and enterprise SONiC into one operational framework, so you can mix vendors, choose the right hardware for each location, and still manage it as a single network OS.

With ONES, you get built-in orchestration, observability, real-time monitoring with 24x7 Support — giving SONiC the same (or better) operational visibility you expect from proprietary NOS platforms.