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The multitude of devices on ever-expanding corporate networks poses a unique challenge from the point of view of security. These IoT devices are typically the weakest link in a corporate network. Machine learning (ML) can secure IoT devices on a more scalable and efficient basis.

A machine learning approach solves the issue of identifying unknown devices on a network, ensuring they’re included in the existing security framework and making IoT management easier for busy IT teams.

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Cybersecurity teams need additional technology to keep track of all the devices and keep the network safe. ML can protect IoT by automating the scanning and management of IoT devices across the entire network. They can scan all devices on the network, shutting down attacks automatically before IT teams are aware of it, according to 

ML helps IoT security teams make intelligent predictions and responses based on previous behavior. 

Find out how: