Hewlett Packard Enterprise (HPE) has announced major updates to its HPE Juniper Networking portfolio, advancing its Mist AI-native platform with new agentic artificial intelligence (AI) features. The innovations are designed to deliver more autonomous network operations, improve user experiences, and reduce IT complexity from client to cloud.
Advancing AI-native networking
The new capabilities expand HPE’s GreenLake Intelligence, which applies specialised AI agents across networking, compute, and storage. These agents enable real-time problem-solving, predictive optimisation, and smarter decision-making. HPE said the latest enhancements move IT management away from reactive approaches toward proactive, self-driving operations.
“Today’s networks must do more than connect—they must understand, adapt and act,” said Rami Rahim, executive vice president, president and general manager of HPE Networking. “With these new digital experience twin and agentic AI capabilities in Juniper Mist, we continue to turn the network into a proactive partner for IT, capable of solving problems before they impact users. This is a major leap toward truly self-driving operations, helping our customers simplify complexity, reduce costs, and deliver exceptional digital experiences at scale.”
Key updates to the Mist platform
The Marvis AI assistant, a core component of the Mist platform, has been upgraded with enhanced conversational capabilities. Using an agentic AI framework, it can deliver customised insights and support across wired, wireless, wide-area network (WAN), client, and application domains.
HPE has also expanded its library of self-driving actions. The Marvis Actions dashboard can now automatically address a wider range of network issues, such as misconfigured ports, capacity constraints, and non-compliant hardware, while still allowing IT teams to retain full oversight.
Another major update is the introduction of the Large Experience Model (LEM). This AI model analyses billions of data points from applications like Zoom and Microsoft Teams to troubleshoot collaboration tools and predict future issues. Enhanced with Marvis Minis—digital twins that simulate user experiences—LEM can forecast performance without needing real-time data, allowing proactive optimisation before problems occur.
In addition, the Marvis AI Assistant for Data Center has been integrated with Apstra’s contextual graph database. This provides intelligent insights and supports autonomous service provisioning. Marvis Minis have also been extended to the data centre, enabling continuous validation and assurance of application services.
Driving efficiency across IT environments
The new features complement HPE OpsRamp, an AIOps-powered platform that manages hybrid, multi-cloud, and on-premises IT environments. By combining full-stack observability with agentic workflows, HPE aims to simplify complex IT operations while ensuring consistent user experiences at scale.
Industry analysts said the updates mark a significant step toward predictive and autonomous network management. “Networks are more distributed and complex than ever, yet 93 percent of organisations say they’re critical to business success. Operations teams need tools that speed resolution, boost efficiency and ensure user experience at scale,” said Bob Laliberte, principal analyst at theCUBE Research. “With its latest advances in agentic AI and GenAI, powered by Marvis, HPE is delivering real autonomous capabilities that enable predictive intervention, letting ops resolve issues before users even notice.”
The launch builds on more than a decade of HPE Juniper Networking’s use of AI in network operations, supporting enterprises, cloud providers, and telecommunications firms worldwide.
HPE will showcase these advancements at its virtual event, New Era of Secure AI-Native Networking, scheduled for 16 September 2025.
