Digital Twins Offer a Whole New Layer of Security, Study Suggests
A new strategy for detecting cyberattacks on manufacturing systems involves using AI to monitor digital twins of physical systems.
What are digital twins in cybersecurity?
Digital twins are virtual replicas of physical systems that use real-time data to mimic their operations. In cybersecurity, they can be employed to monitor manufacturing systems, such as 3D printers, to detect anomalies or cyberattacks without impacting system performance.
How do digital twins enhance security?
Digital twins enhance security by integrating operational data, which allows for the detection of irregularities indicative of cyber threats. They can analyze data such as temperature and voltage to identify anomalies, enabling proactive responses to potential security issues.
What role does AI play in digital twin cybersecurity?
AI plays a crucial role by analyzing data from digital twins to recognize normal operating conditions and identify deviations. When an anomaly is detected, AI systems can categorize it as a potential threat, allowing human experts to make informed decisions on security responses.
Digital Twins Offer a Whole New Layer of Security, Study Suggests
published by Divergent IT
Divergent IT is a tech service operational consulting & strategy firm. Divergent IT partners with CIOs, business owners, and Non-Profits to develop strategy and implementation across their business including: cybersecurity, remote maintenance management (RMM), IT strategy, on-site maintenance and more.
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