LiveAssist accelerates network operations by correlating network events across diverse data sources and surfacing them through a natural language interface. By leveraging a large language model (LLM), when prompted by a user, LiveAssist can:
- Quickly provide actionable insights by connecting alerts, flows, and telemetry.
- Reduce mean time to resolution (MTTR) through automated correlation of events.
- Allow users to ask questions in plain language and get clear, context-rich answers.
For example, when a user asks: “What are the alerts on my network this morning?”, LiveAssist:
- Combines the query with context from alerts, flow records, SNMP, and device data.
- Passes this context to the LLM.
- Through the MCP client, the LLM invokes MCP servers, which fetch, correlate, and summarize the data.
- Provides a clear, actionable response back to the user.
For detailed feature specifications, refer to the LiveNX product documentation. LiveAssist responds to user-initiated inquiries and the AI models do not monitor the product without prompting by the user.