AIOps and self-driving operations

Natural language interface that provides real-time troubleshooting answers and actionable insights using NLP and NLU to contextualize requests and accelerate workflows.

Digital experience twins that simulate user connections using unsupervised machine learning to validate network and application services, detecting issues from client-to-cloud before they impact users, even when clients aren't connected.

Uses generalized learning and data from Marvis Minis to evaluate network and application performance across broader scenarios, focusing on collaboration apps like Zoom and Teams.

Displays high-impact network issues detected by Marvis with recommended remediation steps. Provides driver-assist actions requiring user intervention and self-driving actions that resolve problems automatically (when given permission).

Brings conversational intelligence and automation to data center operations. Proactively detects anomalies, diagnoses root causes, and recommends or executes corrective actions to maintain optimal performance and reliability across infrastructure.

Agent software that sits on end-user devices (Android, Windows, macOS) providing granular client properties and insights into roaming algorithms and connection types.

Delivers deep visibility into network performance from client to cloud, using AI-driven insights to optimize user experiences and ensure service reliability. Simplifies troubleshooting by proactively identifying issues, correlating data across sites, and providing clear, actionable recommendations.

Transforms switch operations with AI insights that simplify management and optimize performance. Continuously monitors device connectivity and health, proactively identifying and resolving issues to ensure a reliable, high-quality wired experience.

Cloud service based on machine learning and driven by Mist AI. Replaces manual troubleshooting tasks with automated wireless operations to make Wi-Fi predictable, reliable, and measurable and provides unique visibility into user service levels.

Provides end-to-end visibility and AI insights to optimize routing performance and reliability. Proactively detects anomalies, accelerates root-cause analysis, and ensures consistent, high-quality experiences across distributed networks.

Delivers end-to-end visibility and AI insights to optimize performance, reliability, and security across modern data center environments. Continuously monitors application and infrastructure health, proactively identifying and resolving issues to ensure peak efficiency and uptime.

Delivers secure, seamless network access through policy-based automation and AI-driven visibility. Ensures the right users and devices connect safely every time, reducing complexity while strengthening overall security posture.

Cloud service providing historical insights across wired, wireless, WAN, location, and security. With Marvis AI and the Mist dashboard, teams can quickly visualize trends, access security and audit data, and optimize both infrastructure and line of business operations.

AI-native, cloud-managed networking for branch, campus, remote, and data center networks. Simplify network operations with intuitive navigation, network time travel, scalable topology visualizations, near real-time visibility, and advanced AI functionality.

Robust, cloud-native NAC solution for advanced authentication, authorization, and seamless guest access.

Versatile network management system for enterprise campus wired, wireless, and remote connectivity. Supports a wide range of features such as zero touch provisioning, enhanced client visibility, traffic analysis, reporting and multivendor integration, Ideally suited to manage HPE Aruba Networking and third‑party network devices.

Digital experience monitoring solution that validates network health and application performance and troubleshoots problems that affect day-to-day user experience. Ideal for campus, branch, and remote environments.