HPE Announces Agentic AI Enhancements to Mist Platform

• By Rhea Kelly
• 09/19/25

HPE recently announced new capabilities for its Juniper Mist platform that leverage agentic AI to enable more autonomous, intelligent, and proactive network operations. The new capabilities "bolster GreenLake Intelligence, HPE's next-generation approach to autonomous IT and agentic AIOps, which deploys specialized AI agents within a multi-layered IT architecture" to enable "real-time problem-solving, proactive optimization and smarter decision-making across networking, storage and compute," the company explained in a news announcement.

"Today's networks must do more than connect — they must understand, adapt and act," said Rami Rahim, EVP, president, and general manager for HPE Networking, in a statement. "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."

The new features, as described in the announcement, are:

• Enhanced conversational capabilities. Mist's Marvis AI assistant has augmented conversational capabilities that facilitate real-time troubleshooting. By leveraging an agentic AI framework, customized insight is provided with self-driving agents that collaborate across the wired, wireless, WAN, client, and application domains.
• Expanded Self-Driving Actions. The Marvis Actions dashboard now supports the autonomous remediation of more network issues, including misconfigured ports, capacity issues and non-compliant hardware — with full IT oversight.
• Generalized Large Experience Model (LEM). LEM is an AI model unique to HPE Juniper Networking that analyzes billions of data points from applications like Zoom and Teams to easily troubleshoot the performance of common collaboration tools and predict future issues. Now enhanced with Marvis Minis — twins that simulate user experiences — LEM can predict future application experiences without real-time data from the applications themselves. This is fed into the Marvis AI engine where self-driving actions can be taken to optimize future performance, prior to users even being present.
• AI for Data Center Operations. The Marvis AI Assistant for Data Center integrates with Apstra's contextual graph database to deliver intelligent insights and lay the groundwork for autonomous service provisioning. Marvis Minis also extends to the data center for continuous service validation and application assurance pertinent to data center networks.

"Networks are more distributed and complex than ever, yet 93% of organizations say they're critical to business success. Operations teams need tools that speed resolution, boost efficiency and ensure user experience at scale," commented 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."

For more information, visit the HPE site.