{"id":867,"date":"2022-10-06T14:00:59","date_gmt":"2022-10-06T14:00:59","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/?p=867"},"modified":"2025-06-25T06:37:56","modified_gmt":"2025-06-25T14:37:56","slug":"r2-wireless-iot-wireless-threat-analysis","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/r2-wireless-iot-wireless-threat-analysis\/","title":{"rendered":"#StartupsOnAzure – Azure helps R2 Wireless bring IoT wireless threat analysis to smart cities"},"content":{"rendered":"\n

Critical infrastructure under threat<\/h2>\n\n\n\n

The demand for multi-layered protection for smart cities and critical infrastructure has increased with the growing threats. On one hand, smart cities and critical infrastructure are routinely targeted by attackers and persons who willfully trespass, posing significant risks for assets that are essential to societal functions. Even minor damage caused by malicious behavior, not to mention terrorism, may have negative consequences for security, the well-being of its citizens and their quality of life. On the other hand, they rely on secure wireless communications to maintain uptime. With countless potential threats that can cause platform-to-device communication latency or hacks, it\u2019s imperative to have the means to monitor and manage each wireless device on a limitless scale.<\/p>\n\n\n\n

Data access challenges for IoT wireless threat detection<\/h2>\n\n\n\n

It\u2019s become clear that IoT sensor-driven smart cities and infrastructure can dramatically improve lives. But they also bring major data security, interference, and latency challenges. The billions of sensors over wireless networks, communicate with the cloud and the edge present countless signal interference and hacking opportunities. The latter is known as a new radio frequency, or RF cyber, landscape, created by various malicious IoTs.<\/p>\n\n\n\n

More of these IoT platform-based smart cities and critical infrastructure providers are turning to Israel-based R2 Wireless for the proactive endpoint monitoring and threat analysis they require. R2 Wireless\u2019s Open Radio Analysis<\/a>, a proprietary AI-driven radio signal processing cloud platform, relies on its own growing sensor networks. These networks monitor for wireless signals that could interfere with or hack into wireless data transmissions between the IoT sensors of smart city platforms or infrastructure run by R2 clients.<\/p>\n\n\n\n

The challenge is the massive data ingress and management required for analysis, including:<\/p>\n\n\n\n