HPE Unveils Agentic AI for Self-Driving Network Operations in Juniper Mist Platform

HPE upgrades Juniper Mist with agentic AI for proactive, self-driving network operations. New features predict issues and automate fixes, enhancing IT efficiency and user experience.

Categorized in: AI News Operations
Published on: Aug 27, 2025
HPE Unveils Agentic AI for Self-Driving Network Operations in Juniper Mist Platform

HPE Unveils Agentic AI for Self-Driving Network Operations

Hewlett Packard Enterprise (HPE) has upgraded its Juniper Mist platform with new agentic AI features, advancing autonomous network operations. These updates focus on improving user experience and reducing IT complexity across client to cloud environments.

Moving Beyond Reactive Network Management

HPE’s enhancements build on its GreenLake Intelligence by applying specialised AI agents to networking, compute, and storage. These agents provide real-time problem-solving, predictive optimisation, and smarter decision-making. The goal is to shift IT management from reactive troubleshooting to proactive, self-driving operations.

Rami Rahim, Executive VP and GM of HPE Networking, explains, “Networks need to do more than just connect – they must understand, adapt, and act.” The new digital experience twin and agentic AI capabilities in Juniper Mist aim to detect and resolve issues before they affect users, simplifying operations and lowering costs.

Key Features of the Updated Juniper Mist Platform

  • Enhanced Marvis AI Assistant: Now equipped with advanced conversational abilities, Marvis delivers customised insights across wired, wireless, WAN, client, and application domains using an agentic AI framework.
  • Expanded Self-Driving Actions: The Marvis Actions dashboard can automatically fix a wider range of network problems, such as misconfigured ports, capacity bottlenecks, and non-compliant hardware, while keeping IT teams in full control.
  • Large Experience Model (LEM): This AI model analyses billions of data points from apps like Zoom and Microsoft Teams to troubleshoot collaboration tools and forecast issues before they arise.
  • Marvis Minis: Digital twins that simulate user experiences, now extended to data centres, enabling continuous validation and assurance of application services without needing real-time data.
  • Data Center Integration: The Marvis AI Assistant for Data Center is integrated with Apstra’s contextual graph database for intelligent insights and autonomous service provisioning.

Boosting Efficiency Across IT Environments

The new AI features complement HPE OpsRamp, an AIOps platform that manages hybrid, multi-cloud, and on-premises environments. By combining full-stack observability with agentic workflows, HPE simplifies IT operations and maintains consistent user experiences at scale.

Industry experts highlight the significance of these updates. Bob Laliberte, Principal Analyst at theCUBE Research, notes, “With agentic AI and GenAI powered by Marvis, HPE enables predictive intervention that lets operations resolve issues before users even notice.”

Looking Ahead

These advancements build on over a decade of AI-driven network operations by HPE Juniper Networking, supporting enterprises, cloud providers, and telecom companies worldwide. HPE will present these innovations at its virtual event, New Era of Secure AI-Native Networking, on 16 September 2025.

Operations professionals interested in expanding their AI skills for IT management can explore relevant courses on Complete AI Training.


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