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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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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.