HPE unveils agentic AI upgrades to Juniper for self-driving IT

HPE has announced new advancements to its HPE Juniper Networking portfolio, integrating agentic AI-native technologies to enhance the Mist platform and support more autonomous and intelligent network operations.

The latest updates focus on increasing automation and user experience assurance across wired, wireless, WAN, and data centre environments. The introduction of AI-powered troubleshooting, a Large Experience Model (LEM), and new AIOps features are central pillars of these enhancements, aimed at reducing the complexity of IT operations and improving performance from client to cloud.

Agentic AI developments

The HPE Juniper Networking platform now brings deeper capabilities to the Mist platform with new agentic AI features, notably through the Marvis AI assistant. Marvis now includes enhanced conversational troubleshooting, allowing IT teams to interact directly with the assistant for more immediate insights and resolutions.

Marvis AI draws on telemetry across multiple network layers - including wired, wireless, WAN, and data centre environments - automating workflows in order to drive efficiency and cut operational costs. By leveraging vast sets of trouble ticket data, the Marvis engine continually improves its accuracy and ability to identify and remediate issues for users.

The solution is designed with a 100% API-driven approach, enabling integration with external platforms such as Zoom, Teams, and ServiceNow. This permits rapid identification and targeting of the root causes of problems, irrespective of their location within the IT landscape.

"Today's networks must do more than connect - they must understand, adapt and act," said Rami Rahim, EVP, president and general manager, 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."

New features outlined

The most recent innovations added to the portfolio include:

• Augmented Marvis conversational AI: The updated Marvis assistant now provides real-time troubleshooting through an agentic AI framework, with self-driving agents collaborating across different network domains and applications.
• Expanded autonomous remediation: The Marvis Actions dashboard has been improved to autonomously address a broader set of network issues, including misconfigured ports, capacity constraints, and hardware compliance, retaining full IT oversight.
• Large Experience Model (LEM): LEM, unique to HPE Juniper Networking, leverages billions of data points from applications like Zoom and Teams to proactively troubleshoot and predict issues. The system is now enhanced with Marvis Minis - simulation twins that can project user experiences in advance, thus enabling optimisation before end users are affected.
• Data centre integrations with AIOps: The Marvis AI Assistant for Data Centre is now connected with Apstra's contextual graph database, delivering intelligent insights to support autonomous provisioning and service validation. Marvis Minis extend into data centre operations to provide ongoing assurance and validation.

The ongoing development of these agentic AIOps features draws on HPE's GreenLake Intelligence framework, which seeks to automate IT operations through AI agents embedded across networking, storage, and compute functions.

Industry perspective

Industry analysts note the growing complexity and distribution of enterprise networks and underscore the importance of automation in maintaining business continuity and efficiency. Referencing recent industry research, Bob Laliberte, Principal Analyst at theCUBE Research, provided his comments on the significance of HPE's AI advances.

"Networks are more distributed and complex than ever, yet 93 percent of organizations say they're critical to business success. Operations teams need tools that speed resolution, boost efficiency and ensure user experience at scale. For over a decade, HPE Juniper Networking solutions have pioneered the use of AI in network operations, accelerating the journey toward self-driving networks," 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."

Integration across multi-vendor environments

HPE states that its position enables it to deliver value through applying AIOps and agentic AI across full-stack, multi-vendor IT environments. This approach is designed to integrate outcomes from networking, compute, storage, and a variety of applications and virtualisation platforms, supporting both hybrid and on-premises operations.

The Marvis data centre features are complemented by HPE's OpsRamp - an IT operations management platform with AIOps designed for observability and workflow automation across today's hybrid, multi-cloud, and data centre environments.

These updates are part of HPE's ongoing work in AI-driven networking, with the goal of improving reliability, efficiency and user satisfaction for enterprises, cloud providers, and telecommunications firms.