Marvis Virtual Network Assistant

Simplify network operations and turn insights into action

Wi-Fi Assurance

Mist provides the industry’s most robust WLAN with customizable service levels, automated event correlation, dynamic packet capture, inline policy engine, personalized WLANs, guest Wi-Fi, and more.

Wired Assurance

The Mist Wired Assurance Service brings robust data from Junos switch telemetry into the Mist microservices cloud and AI engine for simpler operations, shorter mean time to repair and better visibility into end-user experiences.

WAN Assurance

The WAN Assurance cloud subscription enables simpler operations, better visibility into end-user experiences and shorter mean time to repair for your WAN.

Marvis Virtual Assistant

Simple natural language queries and integrated help desk functions ensure unprecedented insight and rapid, proactive Wi-Fi problem resolution.

Premium Analytics

Increase your network IQ to accelerate your digital transformation. Mist Premium Analytics offers enterprises end-to-end network visibility and business insights to support this transformation.

User Engagement

Deliver rich user experiences with real-time location-based context, including turn-by-turn directions, proximity-based notifications and alerts through Virtual Bluetooth LE. No battery beacons or manual calibration required.

Asset Visibility

Locate high value assets, such as wheelchairs, equipment carts, and pallets. Find nearby sales associates, nurses, and more. Traffic analytics from Mist enable better business decisions and ensure optimal allocation of resources.

Allow the industry-first AI-driven virtual network assistant to manage your network.

Meet Marvis, the first AI-driven Virtual Network Assistant (VNA) service that transforms how IT teams interact and engage with enterprise networks to streamline operations and boost user experiences. The days of memorizing CLI commands and stitching dashboards together will no longer cut it. When experience is the new uptime for the AI-Driven Enterprise, IT teams need to get answers in real-time, just as end users expect to have their issues resolved quickly.

How would you like to experience The Self-Driving Network™?

Over the past four years, the Mist AI engine has implemented a variety of data science tools so that Marvis continues to learn and improve as part of a true self-driving network. Marvis is not just another “nice to have” tool—it will quickly become an essential piece of the IT team, evolving the way you experience and interact with the network.

Benefits of Marvis VNA

Maximize User Experience

  • Understand issues faster and get more done with the first conversational interface driven by the Mist AI engine for enterprise networks
  • Fix problems proactively and automatically before users know they exist

Prioritize IT Spend

    • Enable faster troubleshooting and streamlines operations for less downtime
    • Prioritize tickets based on scope of impact

Gain New Insights

  • Understand your WLAN, LAN, WAN and security domains without playing dashboard detective and hunting through numerous screenshots
  • Analyze and correlate data to determine the magnitude and scope of problems

Key Components of VNA

A Conversational, Interactive Mist AI Engine

The Marvis Conversational Interface uses advanced Natural Language Processing (NLP) with Natural Language Understanding (NLU) and Knowledge Graphs to understand user intent and objectives. It contextualizes the inquiry to return specific results and takes actions based on user feedback.

Simplify Troubleshooting with Marvis Actions

Marvis Actions, a piece of The Self-Driving Network™, leverages the Mist AI engine to identify the root cause of issues across IT domains (WLAN, LAN, WAN, Security) and automatically fixes or recommends actions (driver-assist mode) with high efficacy for connected systems outside of the Mist domain.

For wired networks, Marvis Actions adds missing VLANs, fixes misconfigured ports, and identifies bad cables. And for wireless networks, Marvis Actions tracks and manages firmware upgrades and EAP/802.1x authentication errors.

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Anomaly Detection

Marvis adds anomaly detection within Service Level Expectations (SLEs) so administrators can rapidly and proactively identify service impacting events and determine the root cause for rapid remediation and resolution.

Anomaly detection leverages data science tools to automatically determine service baselines and sends trigger notifications when there is a service-impacting deviation. Using our APIs, you can automate your external actions, such as creation of a help desk ticket without manual intervention.

Accurate Root Cause Analysis

Marvis uses Bayesian Inference to identify causes with the highest probability of association to the problems occurring on the network. This delivers more accurate root case analysis to speed up problem identification and resolution.

Understand Scope with Correlated Data

Marvis correlates information across a large knowledge base, including WLAN, LAN, WAN and security domains to determine the scope and magnitude of a problem. This helps you to prioritize issues, assign resources efficiently, and reduce pressure on support teams. For example:

  • Did an upgrade cause a wireless issue?
  • Is it specific to a client, a group of clients, an entire site, or many locations?
  • Is it happening rarely, occasionally, or frequently?
  • Is there a coverage issue or is a DHCP server responding slowly?
  • What are my users’ experiences across the WAN?
  • What is the scope and impact of the problem?

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Additional Resources