Traditional wireless LANs have become harder to manage as environments grow more complex. They often lack the visibility, automation, and agility needed to support today’s mix of users, devices, and applications.

HPE’s AI-native wireless solution reimagines this model by combining:

• High-performance access points (APs) with Wi‑Fi 7 (802.11be) and Wi‑Fi 6E (802.11ax) for strong range and performance.
• Advanced Mist AI capabilities for AIOps and automation via Juniper Wi‑Fi Assurance.
• Cloud-based network access control (NAC) through Juniper Access Assurance.

Key differences and benefits include:

• Experience-first design: APs are built for full-spectrum wireless (Wi‑Fi, Bluetooth LE, and IoT) and include a patented 16‑element dynamic virtual BLE (vBLE) antenna array. This enables accurate, scalable location services like wayfinding and asset tracking without battery-powered beacons.
• Deep visibility and analytics: APs continuously collect data and work with the Mist cloud for analytics, machine learning, event correlation, and location services. Some models add IoT sensors and a fourth radio for constant monitoring and intelligent packet capture to speed troubleshooting.
• Automation instead of manual work: Juniper Wi‑Fi Assurance uses machine learning to automate operations, from setting and enforcing Wi‑Fi service levels to identifying root causes with a single click.
• Cloud-native agility: The Mist cloud delivers up to 10x more feature updates per year with zero scheduled downtime, using a microservices architecture that scales elastically and isolates failures.

The result is a wireless environment that is easier to deploy, manage, and troubleshoot, while giving users more consistent and predictable connectivity.

The AI capabilities in this solution are designed to reduce manual effort and make operations more predictable and data-driven.

Juniper Wi‑Fi Assurance and Mist AI help by:

• Automating wireless operations: The service is 100% programmable via open APIs, enabling full automation and integration with other IT systems across LAN, engagement, and indoor location.
• Customizable service levels: You can set, monitor, and enforce Wi‑Fi service-level expectations (SLEs) for key performance metrics, so the network is managed against clear, measurable targets.
• One-click root cause analysis: The Proactive Analytics and Correlation Engine (PACE) identifies and correlates issues so IT can quickly see what’s causing a problem, instead of manually piecing together logs.
• AI-driven radio resource management (AI‑RRM): Radio settings are optimized automatically and adapt in real time to intermittent external interference.
• Real-time user state and “network rewind”: Dynamic packet and spectrum capture provide historical context, helping teams identify and resolve interference and performance issues faster.
• Simple QoS and resource assignment: Network resources can be prioritized for specific users or applications with a few clicks or via policies.

Marvis AI Assistant adds a conversational layer on top of this data:

• Uses NLP/NLU, large language models (LLMs), and generative AI for intuitive, natural-language interactions.
• Supports proactive and prescriptive actions, self-driving operations, digital experience twinning, and integrated helpdesk functions.
• Adds anomaly detection to the SLE framework so administrators can rapidly spot and address service-impacting events.
• Correlates information across a large knowledge base and uses Bayesian Inference to identify the most probable causes of network issues.

Together, these capabilities help IT teams move from reactive, ticket-driven troubleshooting to a more proactive, automated operating model.

Juniper Access Assurance is the cloud-based NAC component that helps you apply zero trust principles while keeping the user experience straightforward.

It focuses on:

• Zero trust, experience-first access: Securely onboards guest, IoT, BYOD, and corporate-managed devices while paying attention to the end-to-end user experience.
• Identity-based policy enforcement: Users and devices are assigned to specific network segments (for example, VLANs) and given roles based on identity. Policies follow the user or device, which helps reduce lateral movement and tighten control.
• Cloud-native architecture: As an API-first, microservices-based solution, it removes the need for additional on-premises infrastructure that some ZTNA vendors require, and unifies the client experience across locations.
• Unified management and insights: Mist continuously ingests network access data, giving operators a single, integrated view of user experience and security posture across the network.
• High availability by design: The microservices cloud architecture supports resilient, always-on access for business-critical operations.
• Stronger security and compliance: Deep integration with cloud identity providers, unified endpoint management (UEM), and mobile device management (MDM) tools helps reduce the attack surface and simplify endpoint management.

For organizations, this means they can implement a more consistent zero trust strategy across users and devices, without adding hardware or creating a fragmented management experience.