When an issue disrupts an AV-over-IP deployment, integrators and support teams need to find the cause quickly. But investigating network traffic has traditionally required specialist skills, manual switch configuration, and often an on-site visit.
Providius Direct changes that. Through direct integration with supported NETGEAR Pro AV switches, it gives teams a faster, guided path from reported symptoms to packet-level evidence, helping them resolve issues sooner with fewer site visits and specialist escalations.
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AV-over-IP has transformed how signals move around buildings, campuses, and production environments. But when something goes wrong, diagnosing it is rarely straightforward. The evidence is on the network, and reading it has typically required network engineering skills that most AV teams don’t have.
Capturing the right traffic at the right moment has meant manually reconfiguring switch mirror ports, coordinating with network engineers, and hoping the issue reproduces under controlled conditions. For integrators managing remote deployments or supporting end users under time pressure, that process is slow, unpredictable, and often inconclusive.
Providius has built its reputation on solving this kind of problem. Its Providius Direct workflow integrates with supported NETGEAR Pro AV switches to give teams a structured, repeatable way to move from a reported issue to the network evidence needed for deeper analysis.
With Providius Direct, integrators and support teams can capture the right network traffic remotely, without manually reconfiguring switches or waiting for a network specialist.
When an issue is reported, teams use the Providius Network Visibility and Real-Time Telemetry (NVRT) interface to enable on-demand traffic mirroring on supported NETGEAR Pro AV switches. The captured traffic is then routed directly to Providius CRIO (Capture, Record, Inspect, Observe) or Broadcast Media Guard (BMG) for analysis.
The guided workflow provides a faster, more consistent path from reported symptoms to actionable evidence. Because the investigation can be conducted remotely, teams can reduce unnecessary site visits, avoid preventable escalations, and move toward resolution sooner.
“AV-over-IP environments are becoming more dynamic, distributed, and mission-critical, which means teams need a faster way to capture the right traffic at the right time,” explains Mathew Slack, VP of Enterprise Sales at Providius. “With Providius Direct, we’re reducing the complexity of network investigation by enabling users to safely mirror traffic across supported NETGEAR Pro AV switch environments through NVRT, helping integrators and end users move quickly from reported issue to deeper analysis and actionable evidence.”
Providius Direct puts network investigation capabilities in the hands of people who understand AV systems, without requiring them to become network engineers.
For integrators, that means being able to investigate a client’s reported issue remotely, gather packet-level evidence, and move toward root-cause analysis without immediately scheduling an on-site visit or escalating to a network specialist.
For support organizations, it creates a repeatable troubleshooting process that produces consistent, actionable data instead of relying on anecdotal reports. Teams can spend less time trying to reproduce a problem and more time identifying what happened and determining the right next step.
“The NETGEAR Pro AV ecosystem is strongest when partners build on top of it in ways that make a real difference to integrators,” said Devan Cress, Global Business Development Director Enterprise AV at NETGEAR. “Providius Direct does that: it gives teams a faster, more structured way to investigate issues on NETGEAR-based deployments, which ultimately makes our infrastructure a more confident choice.”
If you deploy or support AV-over-IP environments on NETGEAR Pro AV infrastructure, visit https://providius.com to learn more about Providius Direct, or contact your NETGEAR AV representative to discuss how it could fit into your troubleshooting workflow.