HPE announces autonomous networking capabilities | Computer Weekly

"HPE said it was clear that the self-driving network is no longer aspirational; it is operational - and with the introduction of self-driving actions across HPE Mist and HPE Aruba Central lines, it is delivering on its vision of secure, AI-native, fully autonomous networking by enabling networks that can detect, diagnose and resolve issues in real time without human intervention."

"Central to this approach is what the company calls a differentiated architecture powered by microservices, autonomous agents and an advanced agentic mesh, designed to move beyond insight-driven operations to true autonomy, and proactively resolve issues before they impact revenue, operations or brand reputation."

"The autonomous agents - the capabilities of which form the base of the self‑driving network - are intended to further reduce the need for manual intervention, delivering capacity and radio optimisation, self-securing actions and user roaming issue resolution."

"Capacity optimisation features will now autonomously identify capacity bottlenecks, and dynamically tunes RF parameters, including band selection, channel bandwidth and power levels, beyond predefined operational ranges by leveraging learned utilisation patterns."

HPE unveiled self-driving network capabilities aimed at secure, AI-native autonomous operations. The capabilities are positioned as operational, with self-driving actions across HPE Mist and HPE Aruba Central that detect, diagnose, and resolve issues in real time without human intervention. A differentiated architecture uses microservices, autonomous agents, and an advanced agentic mesh to move from insight-driven operations to proactive autonomy that resolves issues before they affect revenue, operations, or brand reputation. Autonomous agents reduce manual intervention by performing capacity and radio optimization, self-securing actions, and user roaming issue resolution. Self-driving actions include dynamic capacity optimization, autonomous missing VLAN remediation, rogue DHCP protection, real-time dynamic frequency selection, roaming insights, and user experience latency metrics. Capacity optimization autonomously identifies bottlenecks and tunes RF parameters using learned utilization patterns.

Read at ComputerWeekly.com