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 agents, 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.
What it takes to deliver self-driving networking
As organizations move from AI experimentation to real-world operational autonomy, networking platforms must evolve to deliver experience-first intelligence, agentic AI, integrated security, and full-stack enterprise alignment across distributed environments.
AI-Native, experience-first architecture
Built for user experience—not infrastructure-first operations.
Why it matters
Self-driving networks require architectures that prioritize user and application experience as the primary operational signal, not just device health.
HPE Networking
Correlates user, application, and network data to quantify real experience using Service Level Expectations (SLEs), enabling precise insight and autonomous remediation.
Cisco
Lacks native end-to-end user experience visibility, relying more heavily on infrastructure-centric telemetry.
AI-driven support and continuous learning
Turning every support interaction into more effective operations.
Why it matters
Self-driving networks depend on continuous learning to improve outcomes, reduce manual effort, and accelerate resolution while proactively preventing user-impacting issues.
HPE Networking
Self-driving networks depend on continuous learning to improve outcomes, reduce manual effort, and accelerate resolution while proactively preventing user-impacting issues.
Cisco
Support experiences remain more reactive and ticket-driven, with fragmented feedback into AI-driven operational improvement.
Cross-domain agentic AI
Intelligence that operates across the entire network environment.
Why it matters
True autonomy requires AI that spans campus, branch, WAN, and data center environments to deliver coordinated, end-to-end operations.
HPE Networking
Provides agentic AI across campus, branch, SD-WAN, and data center, with future expansion into compute and storage through GreenLake Intelligence.
Cisco
AI capabilities remain limited primarily to networking and security, lacking full cross-domain enterprise integration.
Agentic AI built for action
AI that can observe, decide, and act.
Why it matters
Next-generation operations depend on AI systems capable of executing workflows, not just providing insights.
HPE Networking
Delivers agentic workflows today using the Large Experience Model (LEM), Digital Experience Twins, and an intelligent agentic mesh.
Cisco
Uses conversational, task-oriented agents that depend on multiple products to deliver value, limiting true operational autonomy.
Autonomous, trust-based operations
From assisted recommendations to fully self-driving actions.
Why it matters
Organizations need AI that not only identifies issues but can safely and automatically resolve them with built-in trust and governance.
HPE Networking
Delivers assisted and fully autonomous actions with a growing library of self-driving capabilities available today.
Cisco
Has not delivered production-ready self-driving actions, with AI efforts focused more on visualization and interaction.
Unified, AI-Native platform
Designed once, delivered everywhere.
Why it matters
A unified architecture accelerates innovation, simplifies operations, and ensures consistent capabilities across environments.
HPE Networking
Mist and Aruba Central share a microservices architecture, enabling "develop once, deploy twice" innovation across platforms.
Cisco
Maintains fragmented architectures with persistent integration challenges across platforms.
Built-in, AI-Native security
Security embedded directly into autonomous operations.
Why it matters
Autonomous environments require integrated security, policy enforcement, and governance across every layer of the network.
HPE Networking
Security, segmentation, and policy enforcement are built directly into the platform with AI-driven guardrails.
Cisco
Relies on integration through Security Cloud Control and multiple platforms to achieve similar capabilities.
Innovation at speed
AI innovation delivered continuously through modern architecture.
Why it matters
Autonomous operations require rapid, continuous innovation across platforms without complex integration cycles.
HPE Networking
AI-native, microservices-based architecture across Aruba Central and Mist enables rapid, distributed innovation and seamless cross-platform capabilities.
Cisco
AI capabilities are layered onto acquired platforms (Meraki, Thousand Eyes, Splunk, Spaces, Galileo), resulting in fragmented innovation and slower integration.