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Juniper Networks Introduces Cloud-Native Access Assurance Service Driven by Mist AI

Juniper Networks announced the latest innovation to its AI-driven enterprise portfolio, the Juniper Mist® Access Assurance service.

This new service leverages Mist AI and a modern microservices cloud to provide a full suite of network access control (NAC) and policy management functions via the same flexible and simple framework already included in Juniper’s wired access, wireless access, indoor location, SD-WAN and secure client-to-cloud portfolio. The result is unsurpassed automation, insight and assurance for superior access control and policy enforcement, coupled with exceptional operational savings.

“Network administrators often fear their own legacy NAC solutions because they are built using on-premises overlay hardware, which makes them brittle, complex to deploy and operate, and inherently lacking in both scale and resiliency,” said Sudheer Matta, Group VP of Products at Juniper Networks. “The new Juniper Mist Access Assurance service solves this by natively integrating NAC into the network infrastructure, and by leveraging AIOps and a cloud-native architecture to seamlessly set up and operate access management, policy creation and enforcement from anywhere via a familiar interface. With our groundbreaking Mist AI and microservices cloud, Juniper customers and partners get exceptional client level insights and automation, deployment times that are reduced from months to minutes and cost-effective resiliency and scale. By integrating Mist AI with NAC, Juniper is further expanding the value of the AI-driven enterprise portfolio, while bringing much needed modernization to a key part of the network.”

Features of the new Juniper Mist Access Assurance service include:

- Granular security: Juniper Mist Access Assurance is natively integrated into the network, as opposed to traditional overlay NAC systems. It provides secure user-, role- and device-based network access aligned with Zero Trust principles enforced for guest, IoT, BYOD and corporate-managed devices. Juniper Mist Access Assurance provides granular network admission controls leveraging the secure 802.1X standard, looking at user/device identity, role and location context to allow for identity-based micro-segmentation and policy assignment.

- AI-driven automation: The Juniper solution provides automated zero-touch network access with fast, one-click device provisioning. In addition, it is 100% programmable, using open APIs for full automation and seamless integration with Juniper Secure Analytics (JSA) and other SIEM or ITSM systems and identity providers for configuration, authentication and real-time data extraction. The Juniper Mist Access Assurance service, like the rest of the Juniper AI-driven enterprise portfolio, is powered by Mist AI and the Marvis Virtual Network Assistant for proactive troubleshooting and self-driving operations to save time and money.

- Cloud-native simplicity, resiliency and scale: Juniper Mist Access Assurance greatly simplifies the administrator experience by combining cloud-based deployment, easy-to-use workflows, simplified policies, API-based automation and troubleshooting for connected devices. A unique microservices-based cloud architecture ensures support for one to tens of thousands of sites, users and devices with exceptional ease and no planned downtime. The service also provides geo-affinity to users for reliable and low-latency access control, which eradicates the need for complex network designs that require multiple on-premises NAC devices and/or load balancers across many data centers. Further, the Juniper® Cloud provides elastic scale, ensuring cost effective growth in conjunction with customer demand.

- Client-to-cloud assurance: Juniper Mist provides a unified cloud-hosted management experience for IT operations across the full network stack, including SD-WAN, SSE, wired and wireless access. By leveraging a common cloud and Mist AI engine, Juniper delivers automation and insight for superior end-to-end user experiences. This includes, for example, unified event correlation, anomaly detection, prescriptive actions and even self-driving network operations.

The Juniper Mist Access Assurance service works in conjunction with other Juniper Mist Cloud and Connected Security services, including Wired Assurance, Wi-Fi Assurance and Marvis™, the industry’s only virtual network assistant driven by Mist AI, as well as Juniper Connected Security services. Marvis combines 7th-generation data science with extensive network (wired/wireless/WAN), location and security domain expertise and a conversational interface to provide exceptional visibility into user experiences and proactive automation to detect and solve problems before users know they exist. Today, Juniper announced new enhancements to Marvis that include LLM (Large Language Models) and support for Zoom, making it even easier to deliver predictable, reliable and measurable user experiences from client to cloud.

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Juniper Networks Introduces Cloud-Native Access Assurance Service Driven by Mist AI

Juniper Networks announced the latest innovation to its AI-driven enterprise portfolio, the Juniper Mist® Access Assurance service.

This new service leverages Mist AI and a modern microservices cloud to provide a full suite of network access control (NAC) and policy management functions via the same flexible and simple framework already included in Juniper’s wired access, wireless access, indoor location, SD-WAN and secure client-to-cloud portfolio. The result is unsurpassed automation, insight and assurance for superior access control and policy enforcement, coupled with exceptional operational savings.

“Network administrators often fear their own legacy NAC solutions because they are built using on-premises overlay hardware, which makes them brittle, complex to deploy and operate, and inherently lacking in both scale and resiliency,” said Sudheer Matta, Group VP of Products at Juniper Networks. “The new Juniper Mist Access Assurance service solves this by natively integrating NAC into the network infrastructure, and by leveraging AIOps and a cloud-native architecture to seamlessly set up and operate access management, policy creation and enforcement from anywhere via a familiar interface. With our groundbreaking Mist AI and microservices cloud, Juniper customers and partners get exceptional client level insights and automation, deployment times that are reduced from months to minutes and cost-effective resiliency and scale. By integrating Mist AI with NAC, Juniper is further expanding the value of the AI-driven enterprise portfolio, while bringing much needed modernization to a key part of the network.”

Features of the new Juniper Mist Access Assurance service include:

- Granular security: Juniper Mist Access Assurance is natively integrated into the network, as opposed to traditional overlay NAC systems. It provides secure user-, role- and device-based network access aligned with Zero Trust principles enforced for guest, IoT, BYOD and corporate-managed devices. Juniper Mist Access Assurance provides granular network admission controls leveraging the secure 802.1X standard, looking at user/device identity, role and location context to allow for identity-based micro-segmentation and policy assignment.

- AI-driven automation: The Juniper solution provides automated zero-touch network access with fast, one-click device provisioning. In addition, it is 100% programmable, using open APIs for full automation and seamless integration with Juniper Secure Analytics (JSA) and other SIEM or ITSM systems and identity providers for configuration, authentication and real-time data extraction. The Juniper Mist Access Assurance service, like the rest of the Juniper AI-driven enterprise portfolio, is powered by Mist AI and the Marvis Virtual Network Assistant for proactive troubleshooting and self-driving operations to save time and money.

- Cloud-native simplicity, resiliency and scale: Juniper Mist Access Assurance greatly simplifies the administrator experience by combining cloud-based deployment, easy-to-use workflows, simplified policies, API-based automation and troubleshooting for connected devices. A unique microservices-based cloud architecture ensures support for one to tens of thousands of sites, users and devices with exceptional ease and no planned downtime. The service also provides geo-affinity to users for reliable and low-latency access control, which eradicates the need for complex network designs that require multiple on-premises NAC devices and/or load balancers across many data centers. Further, the Juniper® Cloud provides elastic scale, ensuring cost effective growth in conjunction with customer demand.

- Client-to-cloud assurance: Juniper Mist provides a unified cloud-hosted management experience for IT operations across the full network stack, including SD-WAN, SSE, wired and wireless access. By leveraging a common cloud and Mist AI engine, Juniper delivers automation and insight for superior end-to-end user experiences. This includes, for example, unified event correlation, anomaly detection, prescriptive actions and even self-driving network operations.

The Juniper Mist Access Assurance service works in conjunction with other Juniper Mist Cloud and Connected Security services, including Wired Assurance, Wi-Fi Assurance and Marvis™, the industry’s only virtual network assistant driven by Mist AI, as well as Juniper Connected Security services. Marvis combines 7th-generation data science with extensive network (wired/wireless/WAN), location and security domain expertise and a conversational interface to provide exceptional visibility into user experiences and proactive automation to detect and solve problems before users know they exist. Today, Juniper announced new enhancements to Marvis that include LLM (Large Language Models) and support for Zoom, making it even easier to deliver predictable, reliable and measurable user experiences from client to cloud.

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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