Digital twins are a digital representation of objects, structures or systems that give organizations greater insight into the life cycle of these objects, but this same level of insight and control can also open doors for malicious attackers.
Digital twins can be created for any physical infrastructure that includes individual components of an engine, turbine and other equipment, or entire factories, and data centers.
“What makes a digital twin different from just your normal model is the fact that it’s a model of the specific serial number that you have deployed in the field,” says Justin John, executive technology director at GE Global Research. “It’s either backed by physics, or you’ve learned how an asset works through historical data—and now you’re going to use that for prediction.”
