BlueCat LiveAssist: Turn LiveNX Network Data into Actionable Insights

If your organization uses BlueCat LiveNX, you already have access to detailed flow, packet, SNMP, and telemetry data across hybrid and multicloud environments. LiveNX provides real-time visibility into network performance and helps teams understand what is happening across complex infrastructure.

The challenge is turning that volume of network data into a clear answer quickly—especially when an issue is developing into a service-impacting incident.

BlueCat LiveAssist, an AI-powered add-on for LiveNX, helps close this gap. It uses the network data already collected by LiveNX to provide natural-language answers, guided root-cause analysis, and actionable recommendations. Because LiveAssist builds on an existing LiveNX deployment, teams can begin using their current network data without creating a separate telemetry pipeline.

As an official BlueCat distributor, Softprom helps organizations evaluate and deploy BlueCat solutions for modern network visibility, DDI, and network operations.

LiveAssist Works with the Network Data You Already Have

LiveAssist is designed to work with the data already available in LiveNX, including:

• Flow records
• SNMP data
• Packet data
• Network alerts
• Telemetry from hybrid and multicloud environments

There is no need to establish a separate telemetry pipeline or learn another complex monitoring interface. Network engineers can ask questions in natural language and receive guided analysis based on the information available in LiveNX.

This makes LiveAssist accessible not only to experienced network engineers, but also to junior and frontline staff who may need help interpreting complex network conditions.

How LiveAssist Connects AI with LiveNX

LiveAssist uses the Model Context Protocol (MCP) to connect its natural-language interface with the network data and capabilities available through LiveNX.

When an engineer submits a query, LiveAssist combines the request with tools that can access relevant LiveNX data, including alerts, flow records, SNMP information, and packet data.

This context is provided to a large language model (LLM) running in AWS Bedrock. The LLM determines which tools are required to investigate the question, while the MCP client enables the necessary MCP servers to retrieve and correlate the relevant information.

The result is a workflow that moves from a natural-language question to data-driven analysis without requiring engineers to manually search across multiple dashboards and data sources.

Designed Around Your Existing Environment

LiveAssist extends an existing LiveNX deployment rather than replacing it.

The solution is designed to provide a secure connection to network data, with queries remaining within the organization's network infrastructure. According to BlueCat, network data is not used to train external models.

This approach allows organizations to introduce AI-assisted network operations while continuing to leverage their existing LiveNX investment.

What LiveAssist Looks Like in Day-to-Day Network Operations

LiveAssist can support network teams across a range of everyday operational tasks—from prioritizing incidents to accelerating root-cause analysis.

Start the Day with a Prioritized Network View

Instead of beginning the day by manually reviewing logs, alerts, and tickets, engineers can ask LiveAssist what requires attention.

The morning snapshot provides a prioritized view of network issues, helping teams identify the most important problems and recognize conditions that could develop into larger incidents.

This gives NetOps teams a faster way to focus their attention where it matters most.

Give Every Engineer Access to Expert-Level Guidance

Network teams often rely heavily on a small number of highly experienced engineers. When multiple incidents occur simultaneously, this can create bottlenecks and increase alert fatigue.

With LiveAssist, engineers can describe a problem using natural language and receive guided root-cause analysis and remediation recommendations.

This can help frontline and junior engineers investigate issues more independently while giving experienced engineers another way to accelerate routine troubleshooting.

Reduce the Learning Curve for LiveNX

LiveNX provides extensive network visibility, but interpreting large volumes of network data can require experience and specialized knowledge.

LiveAssist allows engineers to interact with this information using natural language. A practitioner who is less familiar with LiveNX can ask questions about a network problem and receive guided analysis and step-by-step recommendations.

This can shorten onboarding time and make advanced network data more accessible across the team.

Shorten the Path to Root Cause

Troubleshooting application performance problems in a hybrid, multivendor environment can require correlating information from routers, firewalls, cloud infrastructure, configuration changes, and other sources.

LiveAssist can correlate relevant telemetry available through LiveNX to help determine what may be causing the issue.

For example, when an application becomes slow, LiveAssist can help investigate whether the symptoms are associated with network performance degradation, a configuration issue, or a recent infrastructure change—and explain its findings in plain language.

From Network Visibility to Actionable Intelligence

Traditional monitoring provides visibility into what is happening across the network. The next challenge is understanding why it is happening and what to do next.

By combining LiveNX's granular network data with an AI-powered natural-language interface, LiveAssist helps transform network telemetry into actionable operational intelligence.

Instead of manually moving between dashboards and correlating information from different sources, engineers can ask questions directly and receive contextual analysis based on the data already available in LiveNX.

In this way, LiveAssist effectively adds an AI-assisted layer to LiveNX—making existing network visibility easier to access, interpret, and act upon.

Key Benefits of BlueCat LiveAssist

With LiveAssist, organizations can:

• Reduce network downtime and accelerate incident resolution
• Give network engineers faster access to expert-level insights
• Reduce operational effort and improve team productivity
• Make complex network data easier to understand and use
• Improve confidence in network performance and operational visibility

Turn Your Existing LiveNX Investment into Faster Answers

Your organization has already invested in the visibility and telemetry capabilities of LiveNX. LiveAssist helps take the next step by turning that data into guided analysis and actionable answers.

LiveNX provides deep visibility across the network. LiveAssist helps teams understand what that data means.

Together, they enable network teams to move from simply monitoring infrastructure to using network intelligence more effectively for troubleshooting and day-to-day operations.

Softprom, as an official BlueCat distributor, can help you evaluate how LiveAssist can complement your existing LiveNX environment.

Contact our team to discuss BlueCat LiveAssist and explore how AI-assisted network operations can help your organization resolve issues faster and make better use of its existing network data.