HPE Aruba Networking is ushering in a new era of autonomous enterprise networking by fusing large-scale telemetry analytics, domain-optimized generative AI, and agentic intelligence directly into the Aruba Central platform, fundamentally transforming how networks are managed and operated. Through the introduction of the Networking Copilot and Agentic Mesh, Aruba is moving beyond traditional dashboards and reactive troubleshooting toward intelligent, proactive, and goal-driven operations.
For years, Aruba Central has processed over a trillion telemetry points daily from more than six million devices and three billion clients, using classification and predictive models to provide deep insights across switching, WLAN, and WAN domains. In 2024, Aruba added enterprise-grade generative AI—integrating natural language search, RAG frameworks, and advanced vulnerability analysis—which enabled operators to interact with the system conversationally and receive contextual, data-backed answers.
Now, in 2025, the arrival of agentic systems builds on these foundations to deliver true autonomous AIOps. Networking Copilot leverages large language models trained on Aruba’s extensive domain telemetry and knowledge base to understand natural language queries, perform anomaly detection, and deliver guided remediation workflows. Network operators can simply ask Copilot in plain English to explain root causes of client onboarding failures, roaming problems, or RF anomalies across thousands of sites.
The Agentic Mesh adds a new layer of intelligence by introducing reasoning, orchestration, and autonomous action. Specialized AI agents continuously analyze real-time telemetry from APs, gateways, and clients, correlate events across the stack, and proactively surface or execute precise recommendations—from RF channel optimization and policy correction to WAN path adjustments. These agents are orchestrated by a multi-agent controller that can delegate specialized tasks, interpret results, and make coordinated decisions at scale.
Recent interactions with Copilot highlight its transformative power. When WAN latency began impacting client experience, the agentic mesh autonomously detected the anomaly, surfaced a clear explanation, and initiated guided remediation steps—all without operator-initiated queries. When asked about client activity, Copilot instantly analyzed the environment, reporting 17 active clients distributed across multiple APs, detailing vendor mix, IoT tagging, and performance distribution. This replaces what traditionally required multiple CLI commands, dashboard filtering, and manual log correlation.
In diagnostics, Copilot has proven equally impressive. In one 24-hour review, it examined 150 client onboarding attempts, identified DHCP timeout patterns, flagged a single L3 onboarding failure, and confirmed that no roaming issues were observed. It condensed this into a concise, human-readable summary, allowing operators to jump directly to actionable insights. For tunnel stability, it performed a 48-hour historical analysis and generated structured output—quick summary, detailed breakdown, and conclusion—showing zero tunnel flaps and stable survivability mode operations.
Beyond visibility, Copilot also recommends optimizations. In seconds, it produced tailored configuration best practices, including 6 GHz enablement, optimized 5 GHz bandwidth, AP placement strategies, power save tuning, and site grouping guidance. These are the kinds of recommendations that usually take hours of expert review, now delivered conversationally through an AI copilot.
What makes this leap different is the agentic architecture. At its core is a multi-agent orchestrator that reasons about telemetry and coordinates specialized sub-agents—such as configuration analyzers or security classifiers—to achieve explicit goals like root-cause identification or performance optimization. It’s supported by powerful LLM reasoning, GreenLake Intelligence integration, and a multimodal Copilot interface that exposes its chain-of-thought, enabling operators to inspect how conclusions were reached.
This is more than a smarter chatbot. It’s an autonomous, reasoning-capable system embedded into Aruba Central’s operational fabric, designed for multidisciplinary IT teams managing sprawling hybrid environments. And because it interfaces with GreenLake Intelligence, these network-specific capabilities can interoperate with broader IT agentic systems, extending their reach beyond networking alone.
The debut of Agentic Mesh and Networking Copilot represents a significant milestone on the journey toward self-driving networks. It’s not science fiction anymore—it’s happening in production environments, providing tangible value today. From automated RCA and stability checks to intelligent configuration tuning and natural-language conversations, these capabilities redefine how networks are monitored, managed, and optimized.
The networking industry is entering a new era. Welcome to agentic networking, where AI doesn’t just assist—it collaborates.
Author,
Prasad Danekula
Principle Cloud Developer
I work at HPE
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[Any personal opinions expressed are mine, and not official statements on behalf of Hewlett Packard Enterprise]
