Get Visibility

From Data to Intelligence: See Your Network’s Complete Picture

Network events don’t happen in isolation—they’re part of a larger picture. NetFabric gives you the context to understand why something happened, whether it’s a path change, traffic block, or abnormal event. With intelligent analysis, you gain insights that let you connect the dots and make informed decisions quickly.

Use Cases:

• Calculate the expected forwarding path between devices based on device configurations
• Infer the actual path your traffic currently takes from traffic observations
• Detect mismatches between configured and observed forwarding paths
• Group logs by event categories to get a fast overview of recent events
• Filter and search your logs using automatically extracted fields
• Map out the topology of your network from complementary data sources

Demo

Path Changes

Demo

Log Analysis

Prioritize

AI-Driven Event Triage for Focused Troubleshooting

Not all network events are equally important, but sifting through all of them manually is impossible. NetFabric cuts through the noise, using AI to rank logs by severity, detect inconsistencies in traffic flow, and surface anomalies that matter.

Use Cases:

• Automatically surface critical logs based on AI-inferred severity, anomalies, and device relevance
• Find significant mismatches between incoming and outgoing traffic on an interface or tunnel
• Automatically detect performance outliers in throughput, latencies, CPU or memory utilization, packet loss, error counters, ...
• Automatically detect unusual patterns in your network traffic, for example by application, port, or destination

Demo

Log Analysis

Demo

Network Health

Connect

Contextual Insights For Every Network Event

Network events don’t happen in isolation—they’re part of a larger picture. NetFabric gives you the context to understand why something happened, whether it’s a path change, traffic block, or abnormal event. With intelligent analysis, you gain insights that let you connect the dots and make informed decisions quickly.

Use Cases:

• Explore path changes and their root cause
• Identify ACL rules that block specific traffic
• Determine if a neighboring device caused an observed event 
• Provide relevant performance and path insights to enable informed routing decisions
• Correlate unusual events with a given network incident

Demo

Path Changes

Demo

Access Control List Misconfiguration Analysis

Predict

Anticipate and Prevent Network Issues with Predictive Intelligence

With predictive intelligence, you can shift from reactive troubleshooting to proactive network management. NetFabric helps you foresee issues before they disrupt your network, from link failures to traffic degradations. By anticipating changes and identifying potential risks, you can take action ahead of time and keep your network running smoothly.

Use Cases:

• Determine the impact of link or device failures on traffic paths
• Detect link degradations by analyzing lost outgoing traffic over time 
• Improve network resilience by detecting single points of failures (links or devices)
• Analyze how a link cost change affects routing decisions
• Analyze how label changes impact forwarding paths
• Optimize the used link costs to achieve specific traffic paths
• Simulate ACL changes to assess impact on traffic
• Forecast bandwidth usage trends over time
• Detect gradual degradations in device behavior (e.g., power issues, broken interfaces, packet drops)

Demo

Path Changes

Innovate

Prepare Your Network for AI-Driven Operations and Automation

As networks evolve, so must the tools that manage them. NetFabric prepares your network for AI-driven operations by offering structured, actionable insights that seamlessly integrate with your AI workflows. Whether it's unifying data, enabling natural language queries, or supporting custom AI processes, NetFabric lays the foundation for smarter automation.

Use Cases:

• Support custom AI workflows by exposing NetFabric insights through our API
• Standardize and resolve entity references across data sources for a clean, AI-ready dataset
• Unlock asking arbitrary questions about logged events by providing a concise summary of your logs digestible by LLMs
• Enable natural language interaction for LLM-driven network insights