Observability with AI Guidance

AI-driven network intelligence across your entire network

Turn complex network telemetry into clear, guided answers so NetOps teams can troubleshoot, prevent outages, and operate with confidence.

Introducing BlueCat LiveAssist: AI-powered network observability for faster troubleshooting

LiveAssist is an AI-driven network intelligence solution that analyzes network telemetry, alerts, and configuration data across your environment. It provides a natural language interface that lets network engineers ask questions and receive real-time, actionable insights. LiveAssist identifies root causes and provides guided steps to resolve issues.

Ready to learn more about LiveAssist?
Book a demo

AI network troubleshooting for faster issue resolution

AI-dashboard UI mockup showing real-time insights, interactive support, contextual alerts and RCA/natural language status bad
Dashboard interface with cards labeled Devices, Applications, Environments and a notification reading "Root cause identified
Dashboard screenshot showing application performance analysis, connection loss tables, and active issues by location charts

Analyzes network telemetry, alerts, and configuration data across systems to surface related issues and dependencies. 

Correlates activity across devices, applications, and environments to determine what is causing performance degradation or failure.

Provides guided remediation steps, including configuration changes and actions to resolve issues and prevent recurrence.

I want to:

Interactive tour

See how LiveAssist helps you find, diagnose, and fix issues faster in a live demo.

  • Walk through real troubleshooting scenarios
  • See root cause delivered as a clear answer
  • ~5 minutes, no signup required
LiveAssist chat UI with "How can I help you?" prompt, suggestion chips and sidebar list of DHCP-related queries

Frequently asked questions

Explore common questions about LiveAssist and how it helps teams detect issues faster, identify root cause, and accelerate network resolution.

Isometric blue UI tiles showing gear, shield, chip, and magnifying glass icons on a grid background

Prepare for the future of the Intelligent Network

The market is rapidly building toward a future state of more intelligent networks: self-healing, self-optimizing multi-vendor networks that operate autonomously, using AI and machine learning to predict, detect, and resolve issues in real time. It’s maximum agility, resilience, and future-readiness. 

This advanced state depends on unifying DDI and linking foundational network services with a deep and predictive understanding of network health and performance. Learn more about the path to building the Intelligent Network.

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