Self-driving network competitive comparison
Not all AI in networking is created equal. While competitors race to bolt AI onto legacy architectures, HPE is delivering a true self-driving network built on more than a decade of AI-native innovation. With experience-first intelligence, autonomous operations, and integrated networking and security across the full client-to-cloud stack, HPE helps organizations move beyond reactive troubleshooting toward networks that continuously learn, optimize, and act on their own. The result is simpler operations, faster resolution, reduced downtime, and better experiences for users and applications—without sacrificing visibility, governance, or control.
Furthest in vision. Highest in execution.
HPE positioned furthest in "Completeness of Vision" and Highest for "Ability to Execute" in 2026 Magic Quadrant™ for Enterprise Wired and Wireless LAN Infrastructure by Gartner® for fifth consecutive time.
Self-driving networks. Not bolt-on AI.
HPE delivers a true self-driving network built on AI-native operations, autonomous actions, and integrated security. While competitors work to assemble fragmented AI capabilities, HPE helps organizations simplify operations, reduce downtime, and deliver exceptional user experiences across the full client-to-cloud network.
Experience-first agents
HPE's experience-first agents continuously observe, reason, and act to optimize user and application experiences across the network. By correlating real-time user, application, and network data, HPE identifies issues competitors often miss—helping IT teams move beyond reactive troubleshooting toward autonomous operations.
AI-native infrastructure
Unlike competitors layering AI onto legacy architectures, HPE delivers AI-native infrastructure built on microservices, distributed intelligence, and unified operations across wired, wireless, SD-WAN, and data center environments. The result is a scalable foundation for self-driving networking with autonomous actions available today.
Integral security
HPE embeds security directly into the network—integrating AI-driven protection, Zero Trust enforcement, and unified policy management across users, devices, and workloads. Instead of stitching together disconnected security tools, HPE delivers built-in protection designed to simplify operations and strengthen resilience across the enterprise.
The competitive landscape
Requirement for true self-driving networking |  | Cisco challenge |
|---|---|---|
AI-native architecture (Not bolt-on AI) |  HPE Aruba Central and HPE Mist were purpose-built as AI-native, microservices-based platforms designed for distributed intelligence and rapid innovation. |  Cisco continues integrating multiple acquired AI and operations platforms, resulting in fragmented architectures and inconsistent operational experiences. |
Continuous, experience-first telemetry | HPE correlates user, application, and network telemetry to measure real digital experience through Service Level Expectations (SLEs), enabling proactive remediation and operational insight. | Cisco remains primarily infrastructure-centric, relying heavily on network telemetry and multiple tools to infer user experience outcomes. |
Agentic AI that can observe, decide, and act | HPE delivers agentic AI capable of assisted and autonomous actions today through technologies including Marvis, the Large Experience Model (LEM), Digital Experience Twinning, and an evolving agentic mesh. | Cisco's AI strategy remains focused largely on conversational interfaces and task-oriented assistants with limited operationalized autonomous workflows. |
End-to-end intelligence across the distributed enterprise (Client to cloud) | HPE extends intelligence across campus, branch, SD-WAN, data center, cloud, users, devices, and applications—with Apstra enabling data center automation and GreenLake expanding cross-domain integration. | Cisco's AI capabilities remain concentrated primarily within networking and security domains, with more limited integration across broader infrastructure environments. |
Built-in, policy-driven security | Security and policy enforcement are integrated directly into autonomous operations through embedded segmentation, NAC, SASE, identity awareness, and AI-native policy controls. | Cisco relies heavily on integration across separate networking and security control planes and products. |
Intelligence beyond networking | HPE uniquely connects networking intelligence with compute, storage, hybrid cloud, AI infrastructure, and operational platforms across the broader HPE portfolio. | Cisco remains largely networking-centric and continues relying on ecosystem partnerships and acquisitions to expand beyond core networking domains. |
Human-guided autonomy | HPE enables organizations to adopt autonomy at their own pace with policy-defined guardrails, assisted operations, explainability, and human oversight built into autonomous workflows—with AI-driven support through Marvis at the foundation, continuously improving efficacy across ticket deflection and resolution times. | Cisco's AI messaging emphasizes AI assistants and interfaces but provides less clarity around operational governance models for trusted autonomy at scale. |
What makes a network truly self-driving?
HPE's self-driving network is built differently. Unlike competitors layering AI onto legacy infrastructure, HPE delivers an AI-native architecture powered by continuous, experience-first telemetry and agentic AI that can observe, decide, and act autonomously across the network.
- AI-Native Architecture (Not Bolt-On AI)
- Continuous, experience-first telemetry.
- Agentic AI that can observe, decide, and act.
- End‑to‑end integration across a distributed environment (Client to Cloud).
- Built-in, policy-driven security.
- The world beyond networking—imagine tie into HPE.
- Human in the loop, how much faster can you get from selling it to using it.
Continuous experience first telemetry
As networks grow more complex, HPE Marvis goes beyond insights with self-driving actions that automatically detect and remediate issues like Missing VLANs before they impact users.
AI that proactively identifies, decides, and resolves.