Mist AI and Cloud
Transform IT with AI-driven operations and support
Mist AI uses a combination of artificial intelligence, machine learning, and data science techniques to optimize user experiences and simplify operations across the wireless access, wired access, and SD-WAN domains.
Data is ingested from numerous sources, including Juniper Mist Access Points, Switches, Session Smart Routers, and Firewalls for end-to-end insight into user experiences. These devices work in concert with Mist AI to optimize user experiences from client-to-cloud, including automated event correlation, root cause identification, Self-Driving Network™ operations, network assurance, proactive anomaly detection, and more.
Juniper also leverages Mist AI for next-generation customer support. It is the foundational element behind Marvis, the industry’s first AI-driven Virtual Network Assistant, which provides extensive insight and guidance to IT staff via a natural language conversational interface.
With Mist AI, operators save time and money with faster problem resolution and fewer onsite visits. Users benefit from a network infrastructure that is more predictable, reliable, and measurable.
A Magic Quadrant Leader
Gartner names Juniper furthest in Vision and Highest in Execution in the 2022 Gartner® Magic Quadrant™ for Enterprise Wired & Wireless LAN Infrastructure.
Juniper Mist Wi-Fi Assurance
Driven by Mist AI and machine learning, the Wi-Fi Assurance cloud service automates troubleshooting and operations, making wireless networks predictable, reliable, and measurable while providing near-real-time visibility into user service levels.
Juniper Mist Wired Assurance
The Juniper Mist Wired Assurance service brings Mist AI to access-layer switching. It sets a new network management standard with AI-driven operations and automation, improving the experiences of devices connected to resources through Juniper EX Series Switches.
Juniper Mist WAN Assurance
The Juniper Mist WAN Assurance service simplifies operations, improves visibility into end-user experiences, and shortens SD-WAN mean time to repair.
Marvis Virtual Network Assistant
Meet Marvis, the first virtual network assistant (VNA) purpose-built with Mist AI for enterprise WLANs, LANs, and WANs. It fundamentally transforms network operations from reactive troubleshooting to proactive remediation through self-driving actions.
Juniper Mist Premium Analytics
Premium Analytics offers network visibility and business intelligence to drive your digital transformation journey.
Juniper Mist User Engagement
User Engagement uses virtual Bluetooth LE (vBLE) array technology and cloud-based machine learning to drive down deployment costs and improve the accuracy of real-time indoor location services, from wayfinding to location-based proximity notifications.
Juniper Mist Asset Visibility
Asset Visibility makes it easy to find key assets and people, with detailed location analytics always at your fingertips.
Juniper Mist Risk Profiling
Risk Profiling driven by Mist AI brings network security to the distributed access network edge. Defend your network by understanding risk associated with each connecting device, including IoT, and dynamically enabling the most appropriate access and security policy.
Juniper Mist IoT Assurance
The Juniper Mist IoT Assurance cloud service streamlines IT operations while securing network connections for headless IoT and BYOD devices. It uses Multi Pre-Shared Key (MPSK) or Private Pre-Shared Key (PPSK) as new types of identity and policy vectors to provide a simple yet comprehensive way to onboard client devices without relying on client MAC addresses.
Juniper Mist Access Assurance
The Juniper Mist Access Assurance cloud service delivers zero-trust, identity-based network access control in a flexible yet simple policy framework for onboarding guest, IoT, BYOD, and corporate devices.
Why Juniper is outpacing the competition
See Mist AI in action
Gartner Magic Quadrant for Enterprise Wired and Wireless LAN Infrastructure, Mike Toussaint, Christian Canales, Tim Zimmerman, December 21, 2022.
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