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The cybersecurity challenges and opportunities of digital twins | #hacking | #cybersecurity | #infosec | #comptia | #pentest | #ransomware


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.”

Digital twins can scale to model complex systems, he says. “You might have five or six different models and then you’ll just combine them together for whatever business outcome you’re interested in.”

In some cases, digital twins can be used to directly control the asset they mirror.

Digital twin challenges CISOs face

By using data from a digital twin, a real-world device or system can be adjusted to work as efficiently as possible for cost savings and to extend its life cycle, but it also creates its own security risks.

Copyright © 2022 IDG Communications, Inc.

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