How To Protect Your Digital Twin

#News(Security) [ via IoTGroup ]

A digital twin is exactly what it sounds like: a digital representation of a real-world system or process.
Digital twins are all around us.
For example, your favorite navigation app is just a digital twin of roadways and their traffic conditions.
Smart City systems are digital twins of municipal infrastructure and services within cities.
Amazon is a digital twin of your shopping persona — it knows what you like to buy and how often, and, thanks to Amazon Alexa, it even knows the tone of your voice and the words you often use.
In all cases, digital twins have a profound impact on their real-world counterparts.
Which of the following is more valuable: a Boeing 777 or the digital twin of a Boeing 777?
Yet, the digital twin of a 777 is far more valuable.
If you control the digital twin, you control every 777 on (and above) the planet.
With digital twins, and component technologies like artificial intelligence, we will see adversaries moving to a data manipulation model.
For example, compromising a traffic app’s digital twin of a city would make it possible to manipulate the data so it sends everyone down the same road and creates gridlock.
This problem becomes even more pronounced when we consider how digital twins can replace human beings in certain jobs.
Unlike physical replacements, such as “lights out” manufacturing systems, where physical human jobs are replaced by robots and other machines, software-only digital twins are being used to replace white-collar jobs.
Skilled traders were once the most valuable asset financial services companies had, but now they’re being replaced by digital twins.
Manipulation of those digital-twin algorithms could potentially cost customers billions of dollars.
This scenario is made personal when we consider the emergence of digital twins in professions like optometry.
In our financial services scenario, a manipulated digital twin means lost revenue.
This is why they deserve what we security people call “crown jewel protection.

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