HPE Expands Self-Driving Networks Across Edge, Campus, Data Center, and AI Factories

Key Terms

sase technical

SASE, or Secure Access Service Edge, is a modern technology that combines network security and access management into a single, cloud-based service. It ensures that users can safely connect to company resources from anywhere, much like having a secure, virtual gatekeeper that protects digital information. For investors, SASE matters because it reflects how organizations are adopting advanced security measures to support flexible, remote work environments and protect valuable data.

zero trust technical

Zero trust is a security approach that assumes no one, whether inside or outside an organization, should be automatically trusted. Instead, every access request is carefully verified before being granted, much like checking ID at every door rather than trusting someone just because they are known. For investors, it emphasizes the importance of protecting digital assets and data from potential breaches, reducing overall risk.

sd-wan technical

SD‑WAN is a technology that uses software to control and direct wide-area network traffic between offices, data centers and cloud services instead of relying solely on traditional hardware routers. Think of it as a smart traffic manager that chooses the fastest, cheapest or safest route for each data flow, improving performance, cutting telecom costs and simplifying upgrades. Investors care because it can lower operating expenses, enable faster cloud adoption and create steady demand for networking and security services.

security service edge technical

A security service edge is a cloud-delivered set of tools that acts like a digital security checkpoint for a company’s internet and cloud traffic, inspecting connections, blocking threats, and enforcing access rules regardless of where users or apps are located. For investors, it matters because adopting these services can reduce breach risk, simplify IT costs, and shift spending toward subscription-based security providers, affecting a company’s risk profile and recurring revenue streams.

secure web gateway technical

A secure web gateway is a technology that filters and monitors internet traffic to block malware, phishing, unsafe websites, and accidental sharing of sensitive data before it reaches a company’s computers. Think of it as a trained security guard at the entrance to an office who checks everyone and everything coming in and enforces company rules; for investors, its presence affects a firm’s cyber risk, regulatory compliance, operating costs, and the value of businesses that sell or rely on such protection.

ztna technical

Zero Trust Network Access (ZTNA) is a security model that grants each user or device only the exact access needed to specific applications, instead of trusting them once they’re inside a network. Think of it as a smart bouncer who checks ID and a reservation for every room rather than letting someone roam freely; for investors, ZTNA matters because it reduces breach risk, lowers potential liability and compliance costs, and drives demand for security products and services.

ai/ml technical

AI/ML stands for artificial intelligence and machine learning, software systems that identify patterns in data and make predictions or automate decisions, improving performance as they process more information. Investors care because these technologies can boost revenue, cut costs and create competitive advantages — like a factory that learns to produce goods faster and with fewer mistakes — while also introducing execution, ethical and regulatory risks that can affect a company’s value.

aiops technical

AIOps (Artificial Intelligence for IT Operations) uses machine learning and data analysis to monitor, detect, and resolve problems in an organization’s technology systems automatically. It matters to investors because it can cut downtime and operating costs, speed up fixes, and make digital products more reliable—similar to an autopilot that notices and corrects issues before they disrupt service, which can protect revenue and reduce operational risk.

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• Integration of HPE Juniper networking portfolio into HPE AI Data Center Solutions delivers full-stack, AI-native infrastructure with proactive operations to accelerate deployments
• Agentic AIOps innovations include HPE Mist platform support for HPE Networking CX Switches, introduction of HPE Marvis self-driving framework into HPE Aruba Central, and expanded capabilities to simplify data center operations
• Unified SASE with zero trust security simplifies security and networking operations, representing an integral piece of the HPE Self-Driving Network strategy
• HPE networking, compute and hybrid cloud now more tightly integrated with shared AI insights and actions

LAS VEGAS--(BUSINESS WIRE)-- HPE Discover Las Vegas 2026 – HPE (NYSE: HPE) today announced major advancements that expand its self-driving networking strategy across AI factories, data centers, and the enterprise edge by introducing new AI data center networking, routing, Agentic AIOps, and security innovations designed to simplify operations and improve performance across increasingly distributed AI-driven environments.

Innovations introduced today advance networking as the foundation of HPE’s agentic enterprise strategy, with self-driving networks delivering the intelligent automation needed to simplify operations, reduce complexity, and enable autonomous IT at scale without human intervention. The new capabilities include support for HPE Networking CX wired access switches in the HPE Mist platform, expanded HPE Marvis AI-driven insights and self-healing automation in HPE Aruba Central, and new AI data center features that use agentic reasoning to speed root cause analysis and remediation.

As part of its expanded AI networking innovations, HPE is also strengthening its networks for AI portfolio with new HPE Juniper Networking QFX Switches optimized for inferencing and scale-up architectures, as well as deeper integration of HPE Juniper Networking data center switching and operations into HPE AI Data Center Solution.

Additionally, a new unified AI-native SASE platform simplifies the convergence of networking and security through common operations and accelerates zero trust adoption to maximize the protection of users, devices, and applications.

“The success of agentic AI in the enterprise depends on a modern networking foundation built for autonomous workflows, where network performance, reliability, and intelligence determine the effectiveness of the entire AI architecture,” said Rami Rahim, executive vice president, president and general manager, Networking, HPE. “HPE is delivering that foundation, enabling enterprises to deploy agentic AI with greater control, confidence, security, and operational simplicity.”

New networking innovations for AI workloads

The HPE AI Data Center Solution is expanding to include HPE Networking, integrating HPE Juniper Networking QFX Switches managed through HPE Networking Data Center Director. This new capability adds to HPE’s existing full-stack AI infrastructure, and strengthens HPE’s pre-integrated solution spanning compute, networking, storage, software, and services, accelerating AI data center deployments while improving interoperability and delivering a scalable, production-ready foundation with predictable performance.

These innovations are designed to support increasingly complex AI training and inference workloads, helping customers scale AI infrastructure platforms such as AMD Helios from experimentation to production.

In addition, new introductions to HPE’s networks for AI portfolio include:

• HPE Juniper Networking QFX5140 Switch: designed for inference clusters and edge AI use cases, delivering the performance and scalability required for the rapidly growing inference market, instrumental in driving HPE AI Data Center Solution to the edge.
• HPE Juniper Networking QFX5252 Switch tray for AMD Helios: scale-up module for AMD Helios AI rack-scale platform, delivering the low-latency, high-bandwidth switching required to maximize AI infrastructure performance at scale.

HPE’s new switching innovations enable GPUs to spend more time processing workloads and less time waiting on the network, eliminating a key bottleneck in AI deployments while improving infrastructure efficiency and lowering total cost of ownership (TCO). Together, they strengthen HPE’s position as a leader in delivering end-to-end AI infrastructure that enables customers to move from experimentation to production faster.

Extending Agentic AIOps across the HPE Self-Driving Network portfolio

HPE continues to advance its agentic enterprise vision that includes its unified self-driving networking portfolio by aligning the HPE Aruba Central and HPE Mist AI platforms with shared agentic capabilities, common hardware, and consistent AI-native operations. This integration between platforms marks yet another milestone in HPE’s ‘cross-pollination’ strategy to unite the HPE Aruba Networking and HPE Juniper Networking portfolios. New AI for networks capabilities in the HPE portfolio include:

• Integration of the HPE Networking CX switching portfolio with HPE Mist, giving HPE Networking CX customers flexibility in Agentic AIOps platform while introducing advanced wired capabilities such as AI-native visibility, zero-touch provisioning, wired assurance for layer 2 access, dynamic PCAP, service-level insights, and HPE Marvis AI-driven actions.
• Availability of HPE Marvis AI-powered self-driving capabilities for HPE Aruba Central, including trusted actions such as wired port remediation to further extend autonomous operations across the HPE networking portfolio.

HPE has also expanded data center operations within the HPE Mist platform. In addition to existing self-driving data center networking capabilities, such as proactive HPE Marvis actions and minis, HPE has now added the following:

• Proactive maintenance using predictive analytics: AI and machine learning (AI/ML) are used to predict system and optics failures with a high-confidence level, well before they occur, with intelligent multidimensional visualization to prevent network outages and deliver higher application resiliency.
• Advanced reasoning agent for high-confidence remediation: Agentic AI is used to continuously and autonomously reason across diverse data streams, including millions of TAC cases and a contextual graph database from HPE Networking Data Center Director, to deliver precise root cause analysis (RCA) and actionable remediation in the data center network.

HPE Networking, compute, and hybrid cloud integrations to enable HPE’s agentic enterprise vision

Building on the successful integration with HPE OpsRamp Software and HPE Morpheus Software, HPE Networking is further expanding its unified infrastructure stack to deliver a seamless, cross-domain experience across compute and hybrid-cloud environments. This expansion accelerates the journey toward a self-driving data center by bridging operational silos, streamlining operations, and delivering a single point of control with the following announcements:

• HPE Mist Networking Data Center Assurance is now integrated with HPE Compute Ops Management, reducing tool sprawl, delivering cross-domain visibility and insights, and enabling efficient scaling with existing teams.
• HPE Mist Networking Data Center Assurance is now integrated into GreenLake to deliver a unified cross-domain user experience with streamlined operations that simplify IT infrastructure management.

Unified SASE with zero trust security

HPE also announced a new unified SASE platform, built on HPE Networking EdgeConnect and powered by advanced firewall technology, that converges SD‑WAN and cloud‑delivered security in a single, AI‑native management console. As AI helps attackers discover and exploit vulnerabilities faster, the platform minimizes exposure through accelerated zero trust adoption and simplified operations. This unified approach by HPE protects self-driving networks by ensuring that only authorized users and devices can securely access the resources they need while keeping those resources hidden from attackers. Key benefits include:

• Integrated SD-WAN and SSE: Bringing SD-WAN and Security Service Edge (SSE) into a unified console for simplified management and consistent policy enforcement.
• Faster zero trust adoption: Embedded SSE connector deploys zero trust faster without installing additional ZTNA connectors or infrastructure. A dedicated Secure Web Gateway (SWG) tunnel extends protection against web-based threats to all devices, including IoT devices.
• Foundation for sovereign SASE: The SSE connector combined with Private Edge keeps traffic within the corporate boundary without hairpinning traffic through cloud SSE PoPs.
• AI-native operations: Accelerating issue resolution and detecting security gaps through natural-language interaction and intelligent analytics with SASE copilot.

New opportunities to reinvest in AI networking

HPE Financial Services is launching a new Network Migration Program to help organizations move to AI‑ready networks faster, with lower cost and less risk. The program brings together better‑than‑cash hardware financing, 0% software financing, and a new IT Asset Program that unlocks value from existing gear to fund innovation.

Today's announcement blogs:

• HPE Networking EdgeConnect unifies SD-WAN & SSE in an AI-native console to power SASE
• Self-Driving Operations, Cross-Domain Integrations, and Purpose-Built Networks for AI
• HPE Self-driving Networks are kicking into high gear

Recent HPE News:

• HPE accelerates self-driving network operations with new HPE Mist agentic AI-native innovations
• HPE disrupts networking industry with expanded AI-native portfolio; reimagines future of IT operations with self-driving networks strategy
• HPE introduces sweeping security advancements to secure AI adoption and strengthen enterprise resiliency

About HPE

HPE (NYSE: HPE) is a leader in essential enterprise technology, bringing together the power of AI, cloud, and networking to help organizations achieve more. As pioneers of possibility, our innovation and expertise advance the way people live and work. We empower our customers across industries to optimize operational performance, transform data into foresight, and maximize their impact. Unlock your boldest ambitions with HPE. Discover more at www.hpe.com.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260616533334/en/

Media Contact:
Ben Stricker
ben.stricker@hpe.com

Source: Hewlett Packard Enterprise