Meet the AI Agents Powering Autonomous IT Operations
Auvik AI, powered by Aurora, Auvik’s revolutionary AI-powered alert prioritization and troubleshooting advice agents. Be proactive and spend less time troubleshooting so you can get your users back online quickly.
Auvik’s unrivaled data advantage
Our extensive dataset powers AI agents grounded in real-world IT complexity
2.2 Billion
CLI commands
30 Million
alerts per year
12 Million
distinct devices
300 Million
device configs
>500,000
applications discovered
>100,000
device models
Built on 15 years of real-world IT data
Take the friction out of managing your IT Operations
Auvik AI, delivered through Auvik Aurora, combines real-time network telemetry with AI-driven analysis to tell you where to look and what to do next—so you can skip the guesswork and get straight to solving the problem.
Find issues faster
Stop scrambling when your users call with an issue
Auvik Aurora agents analyze alert patterns, device data, and historical performance across your IT infrastructure. They prioritize high-impact issues and deliver clear, actionable guidance—so you’re not wasting time chasing false positives.
AI-Powered alert prioritization
Correlates alerts across devices and topology to highlight what truly needs attention first.
Auvik Aurora AI-guided troubleshooting
Agents correlate performance metrics and topology data to pinpoint where issues are likely occurring and probable causes. Every alert, customized guidance.
Remediate more quickly with AI
Every alert includes suggested investigation steps and remediation guidance based on your live network data.
Untangle IT problems with ease
Resolve issues quicker with Auvik Aurora agents
Spend more time actually fixing problems. Auvik Aurora’s autonomous agents analyze interface statistics, bandwidth utilization, CPU and memory usage, topology paths, and device status to identify likely root causes. Then, Auvik’s AI-powered recommendations clear next steps grounded in your environment, not generic internet advice.
Human-in-the-loop remediation
Review, approve, or reject Auvik Aurora’s AI-recommended actions before execution—so you stay in control while moving faster.
The right commands at the right time
Get device-specific command suggestions and scripting help for multi-vendor networks.
Pre-empt issues
Know which devices to patch or replace before they cause an outage
Auvik Aurora agents continuously analyze device metadata, firmware versions, and vulnerability data feeds to identify end-of-life hardware and relevant CVEs. Instead of scrambling when something breaks, you can plan ahead with confidence.
Lifecycle intelligence agents
Automatic reporting on end-of-life and end-of-support devices so you can prioritize refresh cycles strategically.
CVE impact analysis
Agentic vulnerability mapping to the specific devices in your environment, helping you understand real exposure—not theoretical risk.
Auvik AI FAQs
What is Auvik AI?
Auvik AI is Auvik’s AI-powered network operations capability, delivered through Auvik Auvik Aurora agents, co-pilot interactions, and behind-the-scenes agentic workflows. Auvik AI analyzes network topology, device relationships, performance metrics, alerts, lifecycle data, and vulnerabilities to provide contextual troubleshooting and remediation guidance grounded in your environment.
Is Aurora fully autonomous?
Aurora is designed as an AI agent with human oversight. It provides recommendations based on machine learning analysis of your environment. You can review and approve suggested actions before they’re carried out.
What data does Auvik AI analyze?
Auvik Aurora analyzes network topology, device relationships, interface statistics, performance metrics, alerts, lifecycle data, and vulnerability feeds. This contextual awareness allows it to deliver recommendations specific to your environment—not generic troubleshooting steps.
Will this replace my IT team?
No. Aurora is built to help network admins and IT generalists be more efficient and effective, not replace them. It reduces repetitive troubleshooting work, surfaces higher-impact issues sooner, and helps your team resolve tickets faster—so they can focus on more strategic initiatives.
How is Auvik AI different from just asking ChatGPT or another LLM chatbot about a network problem?
General-purpose AI tools respond with answers based on publicly available information, which means generic information that may or may not apply to your environment. Aurora’s analysis is grounded in your actual network data. This means the specific device that’s having an issue, its current performance metrics, topology relationships, recent alert history, and configuration state. That context is crucial to the guidance AI provides and is what makes Aurora’s recommendations so specific and actionable rather than a generic how-to.
How does Aurora handle situations where it’s not confident in its recommendation?
Aurora is built with human oversight in mind. It presents findings as hypotheses, not definitive answers. When it surfaces a likely root cause, it explains the reasoning behind it (e.g. what data points it looked at and why it’s pointing in that direction). This transparency helps you evaluate the suggestion and decide whether to act on it, dig deeper, or pursue a different angle. Put simply, Auvik AI is designed to give you a better starting point, not make decisions for you and your team.
Can I see what Aurora looked at when it made a recommendation?
Yes. Aurora is designed to show its work where possible. When it surfaces a likely root cause or recommends an action, the context used to inform that conclusion may be included.The goal is to give you enough information to evaluate the recommendation and decide whether to act on it.
Does Aurora learn from my environment over time?
Aurora’s recommendations are grounded in real-time data from your actual network, including topology, device relationships, performance metrics, alert history, and more. Every time it analyzes your environment, it’s working from the most current picture of what’s happening across your infrastructure.