Expanding AI-Powered Automation, HPE Presents Network Device Monitoring for Third Parties

Aruba Networking Central includes AI-generated network optimizations, an enhanced network equipment configuration engine, and increased network observability.

The artificial intelligence-powered network administration product HPE Aruba Networking Central is getting new AI insights and capabilities, according to a statement from Hewlett Packard Enterprise. Among these is the integration of OpsRamp for industry companies including Cisco, Juniper Networks, and Palo Alto Networks' third-party network monitoring.

Along with these new features, Aruba Networking Central now boasts enhanced network equipment configuration engine, increased network observability, and AI-generated network optimizations backed by customer base AI automation.

OpsRamp, which HPE acquired in 2023, adds insights from network devices like access points for wireless networks, switches, firewalls, and routers from different vendors to enhance contextual network monitoring. According to HPE, this new feature expedites routine health tracking and fixing operations and helps lessen heterogeneous network blind spots.

According to David Hughes, chief product officer of HPE Aruba Networking, the company is extending its AI-powered networking and security insights to include products from numerous industry vendors. This gives customers a significant edge in terms of controlling, anticipating, and managing their networks, which puts them in a strong position to carry out their AI networking strategies.

Aruba Networking Customer Insight monitoring has been integrated natively into the solution's UI, expanding its capabilities for digital experience monitoring. This feature can track the user's adherence to the service level agreement throughout time for the application.

The business also said that Aruba Networking Central's device management features the addition of 90 new interfaces for application programming, additional hierarchical configuration capabilities, and a common configuration paradigm for wired, wireless, and gateway solutions.

Over the previous six months, HPE has also included more AI-trained models, which drastically cut down on the time and effort required to plan, implement, maintain, troubleshoot, and optimize networks. According to HPE, freshly trained and fine-tuned categorization of AI models are now based on a data lake containing telemetry from more than 1.6 billion client endpoints and more over 4.6 million network-managed devices.