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.

Risk Profiling

Risk Profiling driven by Mist AI brings network security to the distributed access network edge, such as campus and branch, and work-from-home sites. It extends security beyond the internet perimeter without requiring a new tool. Infected wired or wireless clients that are observable by Mist AI are assigned a threat score determined by the Juniper ATP Cloud.

Meet Marvis, the first AI-driven Virtual Network Assistant (VNA) service that transforms how your 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 are over. When experience is the new uptime for the AI-Driven Enterprise, you need to get answers in real time, just as your end users expect to have their issues resolved quickly.

Over the past four years, Juniper has implemented a variety of data science tools with Mist AI 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 tool for your 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) to understand user intent and goals. It contextualizes the inquiry to return specific results and can even take actions based on user feedback.

Describe your intent to Marvis, and it will take an action without requiring users to remember specific dashboards or CLI commands to implement the change.

Simplify Troubleshooting with Marvis Actions

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

For Wired Assurance, Marvis Actions detects Spanning Tree Protocol (STP) loops, adds missing VLAN tags, fixes misconfigured ports, and identifies bad cables. With Wi-Fi Assurance, Marvis Actions tracks and manages firmware upgrades and EAP 802.1x authentication errors.

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Client SDK

Currently for Android only. Get network visibility inside out, from the device’s perspective. In addition to the rich visibility of the device’s Wi-Fi experience, you can now understand how the device sees the Wi-Fi environment.

Plus, see how roaming decisions are made when devices switch between cellular and Wi-Fi, additional Wi-Fi properties, and coverage issues due to asymmetry.

Anomaly Detection

Marvis adds anomaly detection within service-level expectation (SLEs) so administrators can proactively identify service-impacting events and determine the root cause for rapid remediation and resolution.

Anomaly detection uses data science tools to establish and monitor service baselines and can send trigger notifications when there’s a 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 problems occurring on the network. This approach delivers more accurate root cause analysis to speed 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 correlation helps to prioritize issues, assign resources efficiently, and reduce pressure on support teams. Ask questions such as:

  • Did an upgrade cause a wireless issue?
  • Is the issue specific to client, a group of clients, the 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