How do AI algorithms automate IoT threat detection?

One major advantage of AI algorithms is their ability to rapidly find patterns across large data sets and to detect anomalies. At the simplest form, this involves creating a baseline model of what's normal in an environment, and then flagging and investigating anomalies to that baseline, which could potentially be IoT threats. This can be seen in various environments, from ones as small as an individual residence up to the largest businesses. For example, I have an increasing number of IoT devices in my home. My lightbulbs should only be able to talk to the lightbulb controller, and the controller should then talk to the app I use to control the lights.