CIO Offers a Primer on Using AI and Machine Learning to Secure IoT Devices

IoT devices, including medical devices, are prime targets for hackers because they can be easy back doors into primary healthcare networks, where the hackers can gain control over critical systems and data. Rollins carefully monitors and secures Freeman Health's extensive use of more than 17,000 IP-connected devices to run its facilities and care for patients.

The first step with securing these devices is really to know what is actually in your network. Once you know what devices are in your network at a granular level – make, model, serial number and operating system they are running – then you can start to understand the risks associated with them, such as vulnerabilities or weak passwords.

The second step is to understand what these devices are doing. You cannot protect what you don't understand. Simply knowing a device is an infusion pump isn't enough.