Juniper Networks Expands Mist AI Platform with Advanced Client-to-Cloud Insights and Self-Driving Network Capabilities

Juniper expands Mist AI platform with client-to-cloud digital twins and self-driving network tools

Juniper expands Mist AI platform with client-to-cloud digital twins and self-driving network tools Juniper Networks Inc. today unveiled significant upgrades to its Mist networking platform, introducing new capabilities that extend insight and automation across wired, wireless and wide-area network environments. The updates to the artificial intelligence-native platform include an expanded version of Marvis Minis for digital experience twinning across global cloud infrastructure, a new Marvis Actions dashboard for autonomous network control, and an upgraded Marvis Client that extends AI-native operations to end-user devices. The updates are aimed at moving beyond traditional observability tools by leveraging machine learning and telemetry to automate both insight and remediation. Marvis Minis Up first is an update to Marvis Minis, Juniper's AI-driven digital experience twins in Juniper's Mist platform. They proactively simulate and monitor end-to-end user experiences across the network to detect and resolve issues before they impact performance. The updated Marvis Minis expands Juniper's digital twin concept across the entire client-to-cloud journey, using AI to detect and analyze performance issues across applications, internet service providers, sites and regions. The update introduces new service-level expectations to benchmark application responsiveness and user experience in real time. The AI-native approach replaces the need for traditional agents or sensors and delivers a seamless and scalable method for maintaining service quality. Juniper says this capability enables proactive remediation of problems before users are affected. Marvis Minis can isolate performance degradation to specific areas, be it a cloud application, a local switch or an ISP bottleneck, all by running continuous synthetic tests. According to early users like staffing firm Robert Half Inc., the technology has already reduced troubleshooting time and improved customer experience by detecting issues even before offices open. Marvis Actions As part of the update, Juniper has introduced the Marvis Actions dashboard, a new dashboard that gives network teams visibility and control over automated decisions made by the Marvis AI Assistant. The dashboard allows operators to choose how and when AI should take action on issues such as virtual local area network misconfigurations, radio interference or outdated firmware. Each action is documented in a detailed activity log along the way, allowing for full auditability and human oversight. The feature aligns with Juniper's vision of a "self-driving network," where common maintenance tasks and performance optimizations are carried out automatically. The result is reduced operational overhead and increased responsiveness, particularly in highly distributed or complex environments, with customers getting greater assurance and flexibility without compromising visibility or control. Marvis Client The third and last announcement, the Marvis Client extension, brings telemetry collection directly to user devices running Android, Windows or macOS, capturing data such as operating system details, hardware specs, signal quality and connectivity issues. The data is then processed by the Mist cloud and correlated with insights from Juniper access points, switches and firewalls to provide a unified view of the end-user experience. The client-based insight does not require additional sensors or third-party software, making it a low-cost, high-value enhancement for organizations seeking deeper observability. The outcome helps reduce mean time to resolution and improves information technology team productivity, especially in hybrid and remote work environments. "The Mist AI-native networking platform was purpose-built to converge AI and networking for exceptional operator and end user experiences," said Sudheer Matta, senior vice president of products, campus and branch at Juniper. "These enhancements shift the paradigm from traditional observability to an AI-native model for truly understanding user experience that's actionable at scale." Neil McRae, chief network strategist at Juniper Networks Inc., spoke with theCUBE, SiliconANGLE Media's livestream studio in March to discuss how Juniper is aiming to simplify complexity with AI-native networking:

Juniper Networks Delivers the Next Era of AI-Native Innovation with Expanded Client-to-Cloud Insights and Self-Driving Network™ Operations

Marvis® Minis extends digital experience monitoring across the WAN and into cloud environments Marvis® Actions dashboard delivers targeted insights that elevate user and application performance Enhanced Marvis® Client software brings self-driving to the network with proactive actions and automation Juniper Networks®, a leader in secure, AI-native networking, today announced key innovations in the Mist™ AI-native networking platform that bring expanded insight and assurance to wired, wireless and WAN customers and partners. Enhanced Marvis Minis extends digital experience twinning across the global WAN, reaching into both public and private cloud environments and applications. A new Marvis Actions self-driving dashboard simplifies network operations by seamlessly identifying and resolving network issues and continuously optimizing network experience and performance, without manual operator intervention, and an enhanced Marvis mobile client expands Mist's industry-leading AI-native Operations (AIOps) to end user devices. With these latest innovations in Mist, Juniper continues to lead the industry in AIOps from client-to-cloud, giving operators superior visibility and control of user experiences. "The Mist AI-native networking platform was purpose-built to converge AI and networking for exceptional operator and end user experiences," said Sudheer Matta, Senior Vice President, Products, Campus and Branch, Juniper Networks. "These enhancements shift the paradigm from traditional observability to an AI-native model for truly understanding user experience that's actionable at scale. We think of the new Marvis Minis as a million Minis -- digital experience twins working in unison to proactively identify, learn and act before issues impact the user. With Marvis Minis, Juniper continues to deliver state-of-the-art automation, insight and assurance -- setting the stage for a foundational shift to agentic AI in the networking industry." Client-to-cloud experience twinning: The next frontier for Marvis Minis With this enhancement, Marvis Minis digital experience twinning capabilities now proactively analyze user experiences end-to-end, from client-to-cloud to baseline and pinpoint exactly where application performance may be suffering. Marvis Minis now offers new service level expectations (SLEs) to deliver increased visibility into application performance across various levels, such as at site, across sites, regions, within an ISP, making troubleshooting faster and more efficient. With end-to-end monitoring, Marvis Minis now provides a comprehensive solution for identifying and resolving issues before they impact end user experience. Unlike traditional observability tools that require agents, sensors or customer-side deployment, Marvis Minis offers a fully seamless experience powered by AI. "Marvis Minis has been a game changer for us by providing precise, proactive alerts about site issues. Through hourly synthetic tests on our network systems, we identify problems before customers arrive, giving us enough time to address and resolve them. By pinpointing the exact areas causing issues, we spend much less time and effort troubleshooting," said Andy Lorenc, Network Engineer, Robert Half. "That's why we're so excited about the addition of client-to-cloud and the fact that we now have complete real-time visibility and a unified view across devices, the network, and applications. Troubleshooting is only getting easier -- another significant benefit of having Marvis Minis fully integrated into Mist and a part of our existing Marvis subscription with ever expanding features and toolsets that bring more value to existing investment." Marvis Actions dashboard: Visualizes and controls self-driving network operations Aligned with Juniper's vision of self-driving networks, Marvis AI Assistant proactively resolves network issues like VLAN misconfigurations and network loops, optimizes Radio Resource Management (RRM) and automates routine tasks such as policy updates firmware compliance, increasing overall efficiency. The new Marvis Actions dashboard view gives full control over when and how these self-driving network operations are enabled. It also provides a detailed history of all proactive actions, whether fully self-driving or assisted, along with insights into how Marvis AI Assistant identified and resolved each issue, empowering customers to manage their network on their terms. Marvis Client: Empowering IT teams with client-side data Marvis Client, an enhanced Marvis AI Assistant extension, uses client-side telemetry from Android®, Windows® and macOS® devices to provide deeper insights into user experiences. Rich data such as device type, operating system, radio hardware, firmware and connectivity metrics are transmitted in near real-time to the Mist cloud, where Marvis AI Assistant processes it to generate actionable insights. When these insights are further complemented by data collected from Juniper Access Points (AP), routers, switches and firewalls, IT teams can proactively address performance issues, improve troubleshooting and enable a consistently high-quality user experience. All of this is achieved without the need for additional software or hardware sensors, thereby minimizing cost and complexity and maximizing value. "To overcome the increased complexity of highly distributed networks, organizations need to adopt self-driving networks and agentic AI technologies. These advances will enable increased operational efficiency, enhanced customer experiences and better business insights. It all starts with a comprehensive, granular understanding of the network, users and applications environment," said Bob Laliberte, Principal Analyst, theCUBE Research. "By leveraging an innovative and established AI-native networking platform, Juniper continues to raise the bar for end-to-end visibility, and proactive control in modern network environments." About Juniper Networks Juniper Networks believes that connectivity is not the same as experiencing a great connection. Juniper's AI-native networking platform is built from the ground up to leverage AI to deliver exceptional, highly secure and sustainable user experiences from the edge to the data center and cloud. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on X (Twitter), LinkedIn, and Facebook.

Juniper Networks Delivers the Next Era of AI-Native Innovation with Expanded Client-to-Cloud Insights and Self-Driving Network™ Operations By Investing.com

SUNNYVALE, Calif.--(BUSINESS WIRE)--Juniper Networks ®, a leader in secure, AI-native networking, today announced key innovations in the Mist™ AI-native networking platform that bring expanded insight and assurance to wired, wireless and WAN customers and partners. Enhanced Marvis Minis extends digital experience twinning across the global WAN, reaching into both public and private cloud environments and applications. A new Marvis Actions self-driving dashboard simplifies network operations by seamlessly identifying and resolving network issues and continuously optimizing network experience and performance, without manual operator intervention, and an enhanced Marvis mobile client expands Mist's industry-leading AI-native Operations (AIOps) to end user devices. With these latest innovations in Mist, Juniper continues to lead the industry in AIOps from client-to-cloud, giving operators superior visibility and control of user experiences. The Mist AI-native networking platform was purpose-built to converge AI and networking for exceptional operator and end user experiences, said Sudheer Matta, Senior Vice President, Products, Campus and Branch, Juniper Networks. These enhancements shift the paradigm from traditional observability to an AI-native model for truly understanding user experience that's actionable at scale. We think of the new Marvis Minis as a million Minis"digital experience twins working in unison to proactively identify, learn and act before issues impact the user. With Marvis Minis, Juniper continues to deliver state-of-the-art automation, insight and assurance"setting the stage for a foundational shift to agentic AI in the networking industry. Client-to-cloud experience twinning: The next frontier for Marvis Minis With this enhancement, Marvis Minis digital experience twinning capabilities now proactively analyze user experiences end-to-end, from client-to-cloud to baseline and pinpoint exactly where application performance may be suffering. Marvis Minis now offers new service level expectations (SLEs) to deliver increased visibility into application performance across various levels, such as at site, across sites, regions, within an ISP, making troubleshooting faster and more efficient. With end-to-end monitoring, Marvis Minis now provides a comprehensive solution for identifying and resolving issues before they impact end user experience. Unlike traditional observability tools that require agents, sensors or customer-side deployment, Marvis Minis offers a fully seamless experience powered by AI. Marvis Minis has been a game changer for us by providing precise, proactive alerts about site issues. Through hourly synthetic tests on our network systems, we identify problems before customers arrive, giving us enough time to address and resolve them. By pinpointing the exact areas causing issues, we spend much less time and effort troubleshooting, said Andy Lorenc, Network Engineer, Robert Half. That's why we're so excited about the addition of client-to-cloud and the fact that we now have complete real-time visibility and a unified view across devices, the network, and applications. Troubleshooting is only getting easier"another significant benefit of having Marvis Minis fully integrated into Mist and a part of our existing Marvis subscription with ever expanding features and toolsets that bring more value to existing investment. Marvis Actions dashboard: Visualizes and controls self-driving network operations Aligned with Juniper's vision of self-driving networks, Marvis AI Assistant proactively resolves network issues like VLAN misconfigurations and network loops, optimizes Radio Resource Management (RRM) and automates routine tasks such as policy updates firmware compliance, increasing overall efficiency. The new Marvis Actions dashboard view gives full control over when and how these self-driving network operations are enabled. It also provides a detailed history of all proactive actions, whether fully self-driving or assisted, along with insights into how Marvis AI Assistant identified and resolved each issue, empowering customers to manage their network on their terms. Marvis Client: Empowering IT teams with client-side data Marvis Client, an enhanced Marvis AI Assistant extension, uses client-side telemetry from Android ®, Windows ® and macOS ® devices to provide deeper insights into user experiences. Rich data such as device type, operating system, radio hardware, firmware and connectivity metrics are transmitted in near real-time to the Mist cloud, where Marvis AI Assistant processes it to generate actionable insights. When these insights are further complemented by data collected from Juniper Access Points (AP), routers, switches and firewalls, IT teams can proactively address performance issues, improve troubleshooting and enable a consistently high-quality user experience. All of this is achieved without the need for additional software or hardware sensors, thereby minimizing cost and complexity and maximizing value. To overcome the increased complexity of highly distributed networks, organizations need to adopt self-driving networks and agentic AI technologies. These advances will enable increased operational efficiency, enhanced customer experiences and better business insights. It all starts with a comprehensive, granular understanding of the network, users and applications environment," said Bob Laliberte, Principal Analyst, theCUBE Research. "By leveraging an innovative and established AI-native networking platform, Juniper continues to raise the bar for end-to-end visibility, and proactive control in modern network environments." Additional Resources: Register Today: Juniper Demo Webinar | How Marvis Simplifies Network Management Blog: New Marvis Capabilities Enhance Juniper AI Care Services Marvis AI Assistant documentation About Juniper Networks Juniper Networks believes that connectivity is not the same as experiencing a great connection. Juniper's AI-native networking platform is built from the ground up to leverage AI to deliver exceptional, highly secure, and sustainable user experiences from the edge to the data center and cloud. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on X (Twitter), LinkedIn, and Facebook. Juniper Networks, the Juniper Networks logo, Juniper, Junos, and other trademarks listed here, are registered trademarks of Juniper Networks, Inc. and/or its affiliates in the United States and other countries. Android is a trademark of Google LLC. macOS is a trademark of Apple Inc., registered in the U.S. and other countries and regions. Other names may be trademarks of their respective owners. View source version on businesswire.com: https://www.businesswire.com/news/home/20250507044237/en/