Natural language queries, proactive issue detection, and machine-speed root cause analysis — Marvis changes how IT teams support their networks.

What if you could ask your network a question in plain English and get a real answer? Not a list of logs to parse or a dashboard to navigate — just a clear, contextual response. That’s what Marvis, Juniper Mist’s AI virtual network assistant, delivers. And for IT teams already stretched thin, it’s a genuine force multiplier.

Ask Anything, Get Answers

Marvis accepts natural language queries directly in the Mist dashboard. Engineers and help desk staff alike can ask:

• “Why can’t Sarah connect to Wi-Fi?”

• “What’s causing high latency in the conference center?”

• “Which APs had the most failures this week?”

Marvis searches the Mist data lake, applies AI reasoning across client events, SLE data, and infrastructure telemetry, and returns a direct answer — in seconds. Troubleshooting that once took 20 minutes of log-diving now takes a single question.

Marvis Actions: Don’t Wait to Be Asked

Beyond reactive Q&A, Marvis continuously scans the network for systemic issues and surfaces them proactively through Marvis Actions — a prioritized list of problems IT should address, before users ever complain.

This shifts the IT workflow from incident response to structured remediation. Instead of chasing fires, teams work through a clear, prioritized action queue — fixing the issues that matter most, systematically.

Root Cause at Machine Speed

When a user calls the help desk, Marvis automatically correlates data across wireless, wired, and WAN to identify the most probable cause. Rather than presenting raw events, it delivers a ranked diagnosis: “This client is experiencing 802.1X authentication failures — likely an expired certificate. 14 other devices are affected on the same SSID.” That’s analysis that would take a skilled engineer considerable time to produce manually.

Elevating Every Level of Your Team

Marvis makes Tier 1 support staff significantly more effective. Help desk agents can query in plain language, receive clear diagnoses, and resolve issues — or escalate with full context — without deep networking expertise. Senior engineers spend less time on routine troubleshooting and more time on architecture and strategy.

As Mist ingests more data from your environment over time, Marvis becomes more accurate, more contextual, and more valuable — a continuously improving assistant that grows with your network.

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