Wyebot focuses on closing the "visibility gap" between infrastructure-reported data and the actual end-user experience by utilizing sensors that collect RF, interference, and application data. Their philosophy centers on simplicity--aiming for a "plug, play, show, done" experience--while maintaining vendor neutrality. Key updates to their sensor platform include the "keep Ethernet interface up" feature to prevent unnecessary SNMP traps during testing, and enhanced support for Managed Service Providers (MSPs) to switch seamlessly between customer accounts. The platform also expands its diagnostic capabilities with automated iPerf server switching, customizable port numbers, and the "Link Doctor" for onboarding verification, which now includes support for IPv6 and internal resource testing.

The presentation highlights significant advancements in security and connectivity testing, particularly regarding OpenRoaming and WPA3. Wyebot's sensors can now test OpenRoaming networks by downloading credentials from the WBA, allowing for the verification of both inner and outer identities. To address evolving security standards, the platform supports the Simple Certificate Enrollment Protocol (SCEP) to automate certificate management as validity periods shorten. Furthermore, their WPA3 testing is described as the most advanced available, allowing administrators to simulate nearly any combination of AKM suites, ciphers, and Protected Management Frames (PMF) to ensure client compatibility across multi-vendor environments.

In response to enterprise feedback, Wyebot is rolling out a revamped UI that boasts six-times-faster page loads, a highly requested dark mode, and comprehensive audit logs for tracking administrative changes. The roadmap includes the integration of a Web Application Firewall (WAF) and the development of next-generation WiFi 7 sensors. Additionally, Wyebot is embracing "Agentic AI" through Model Context Protocol (MCP) server support. This approach allows enterprises to use their own AI assistants--such as Claude, Gemini, or Amazon Q--to interact with Wyebot data using their own API keys, ensuring that sensitive network information is not used to train public LLM models while still providing intelligent, automated troubleshooting.

Presented by Anil Gupta, CTO. Recorded live at Mobility Field Day 14 in San Jose, CA on May 7, 2026. Watch the entire presentation at https://techfieldday.com/appearance/wyebot-presents-at-mobility-field-day-14/ or visit https://TechFieldDay.com/event/mfd14 or https://Wyebot.com/ for more information.