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Introducing Kentik AI Advisor: The Future of Network Intelligence

Eric Hian-Cheong
Eric Hian-CheongSenior Product Marketing Manager
AINetwork Intelligence
feature-ai-advisor
Table of contents

Summary

summary


Core/flow (traffic, DNS, metadata, etc.)
  • Traffic flows – Data Explorer queries
  • Traffic Cause Analysis
  • Whois – query AS number / prefix info
  • DNS resolver
  • Alerting – filtered list of Kentik alerts
NMS 
  • NMS metrics - Metrics Explorer queries
  • Syslog - search logs stored in Kentik NMS
  • SNMP traps - search traps stored in Kentik NMS
  • Device inventory - get information about device based on device name
  • Interface inventory - get information about the interface of the single device
  • Sites inventory - search the list of sites with all relevant metadata
  • Device neighbors - list the device neighbors detected by NMS capability
Cloud
  • Cloud Pathfinder
  • Cloud inventory (AWS)
Synthetics
  • Current synthetics tests – filtered list of current Kentik Synthetic tests results
  • On-demand connectivity tests – ping and traceroute testing from private Universal Agents
Knowledge
  • Kentik Knowledge Base
  • General networking knowledge (contained within foundational LLMs)
  • Natural language runbooks
  • Custom Network Context

How does it work?

At its core, Kentik AI Advisor is powered by sophisticated context engineering, frontier reasoning LLMs and an agentic architecture that leverages Kentik’s highly enriched network telemetry and tools.

How AI Advisor Works
1. Ask AI Advisor a question or state a goal.
2. AI Advisor sends a request to LLM to interpret the goal and consider what tools and data it needs to answer it.
3. AI Advisor and LLM work together to call data. AI Advisor goes back to step 2 if needed, showing its reasoning and data at each step.
4. AI Advisor provides a summary and recommendations of next steps to the user.
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