Highlights from the September 9 webinar
How can AI help network teams move from finding problems faster to preventing them and eventually taking trusted action? That question was at the center of the September 9 webinar, “What’s New in Aruba Central – Smarter operations with AI-native innovations,” presented by Ishani Chakraborty and Divya Rajpal. The session combined a strategic overview with a hands-on demonstration of how Aruba Central brings together unified visibility, intelligent troubleshooting, predictive insights, and conversational operations.
For HPE Networking Community members, the takeaway is practical: Central is designed to give practitioners faster paths from symptoms to root cause, clearer guidance on what to do next, and more opportunities to resolve issues before users are affected.
Building toward self-driving networks
Ishani opened with the broader strategy behind Aruba Central and Juniper Mist: develop innovations once and deploy them across both platforms, with the long-term goal of autonomous, self-driving networks. Both platforms use modern microservices and agentic AI frameworks, allowing individual services to be updated or fixed without disrupting the broader platform. For customers, that architecture supports faster innovation, greater scale, and minimal downtime.
The presenters also drew an important distinction between a basic AI assistant and a system capable of trusted action. HPE is delivering trusted self-driving actions for networking today and its not a vision. Our approach is grounded in years of model development, large-scale real-time telemetry, and domain-specific networking knowledge. That foundation supports a progression from proactive recommendations to trusted self-driving actions, not simply better search.
Faster client connectivity troubleshooting
Divya’s demo began with one of the most common and time-consuming operational challenges: determining why a client cannot connect. Aruba Central’s client connectivity dashboard provides views by client and by connection attempt, covering stages such as association, authentication, DHCP, and DNS. Session-aware logic keeps persistently failing clients from distorting the overall success metric, while filters help operators narrow results by site, WLAN, client type, failure category, and timeframe.
Once an issue is identified, Central correlates events into a meaningful alert, shows the affected clients and infrastructure, and performs relevant checks automatically. In the demonstrated 802.1X timeout scenario, Central attempted to reach the authentication server, used the result to refine the likely root cause, and recommended next actions. Operators can then continue with built-in tools such as console access and live packet capture. Similar guided workflows are available for wired environments.
One more aspect in the client connectivity issues that was demonstrated was how Central helps investigate roaming problems. Teams can review up to 30 days of client history, distinguish good and poor roams, inspect associated events, and replay movement on a floor plan. New multi-site visibility and end-to-end connectivity paths provide a fuller picture for clients moving between buildings or traversing infrastructure in different sites.
One view of application experience
For application troubleshooting, Aruba Central combines network telemetry with HPE Aruba Networking User Experience Insight (UXI) data in one interface. The demo used a collaboration application to show application health, usage, throughput, latency, loss, and voice quality. Network telemetry can break latency into client-to-access point, client-to-gateway, and client-to-application segments, while UXI sensors act as synthetic clients to validate the experience from another perspective.
When deeper investigation is needed, UXI path analysis captures the route to the application, including intermediate hops and details such as host names and traffic markings. Comparing the path before, during, and after an incident can help isolate routing or policy problems rather than treating every poor experience as a wireless issue.
Predicting experience before users complain
A major new capability highlighted in the webinar was Application Experience Predictor, which brings a large experience model from the Mist platform into Central. The model analyzes client minutes and predicts whether a user would have a good or poor application experience even when that user is not actively running the application at the time.
It then groups contributing factors into areas such as wireless, client, and WAN. That matters because it helps teams focus quickly: improve coverage or capacity, investigate a client-side problem, or engage an internet service provider. The operational shift is significant from reacting to a complaint to identifying conditions likely to create a poor experience and addressing them proactively.
Ask the network with Networking Copilot
Networking Copilot provides a conversational way to monitor and troubleshoot the environment without requiring operators to know exactly where to click. It uses specialized agents for devices, clients, configurations, topology, applications, and other domains. Its answers are grounded in network telemetry, product documentation, validated design guidance, and support knowledge.
During the demo, Copilot summarized release features with source references, analyzed connectivity issues across an entire site, reviewed application performance across the network, produced a seven-day DHCP latency table for a WLAN, and mapped a client’s complete data path. In each case, a plain-language question replaced a lengthy manual investigation across multiple screens.
For day-to-day operations, this can make complex data more accessible while saving experienced practitioners time. It can also help newer team members learn by connecting an answer to the relevant network data and documentation.
Proactive optimization with AI Insights
The session closed with AI Insights for proactive optimization across wireless, wired, and security. The Coverage Hole Optimizer evaluates uplink and downlink signal-to-noise ratios together with affected client minutes, identifies the impacted access points and clients, and recommends actions such as adjusting transmit power or adding an access point.
Configuration-aware recommendations can also check whether spanning tree settings follow best practices and identify the exact devices that need attention. Security insights assess factors such as client compatibility before recommending a move to WPA3. The common thread is context: recommendations are based on the actual environment rather than generic advice.
What this means for the HPE Networking Community
Aruba Central’s latest capabilities are designed to reduce the distance between a user-reported symptom and a confident resolution. Unified telemetry gives teams a clearer view. Automated checks and dynamic root-cause guidance accelerate troubleshooting. Predictive models and AI Insights help prevent disruption. Networking Copilot makes all that intelligence easier to reach.
This is also where the HPE Networking Community adds value. As you explore these capabilities, connect with peers and product experts to compare deployment approaches, share troubleshooting lessons, ask configuration questions, and discuss what AI-native operations look like in real environments. Your experience can help another member solve an issue faster—and your contributions can build your own visibility and credibility across the community.