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 can be monitored using AI. In cybersecurity, they help detect cyberattacks by mimicking real-time data from the physical system, allowing for the identification of anomalies without impacting system performance.
How do digital twins improve cyberattack detection?
Digital twins utilize operational data to sense abnormalities. They recognize normal conditions and can identify irregularities, which are then analyzed against a library of known issues. If an anomaly is detected, it is categorized as either a routine issue or a potential cyber threat, with human experts making the final determination.
What advantages do digital twins offer for manufacturing security?
Digital twins offer a new layer of security by separating essential operations and data from vulnerable surfaces. They incorporate extensive operational data, enabling predictive maintenance and anomaly detection without compromising performance or safety, thus enhancing overall cybersecurity in manufacturing.
Digital Twins Offer a Whole New Layer of Security, Study Suggests
published by Brick Bridge Consulting
Brick Bridge Consulting is a technology consulting and implementation firm providing boutique designs and software development to Executives and IT Managers seeking to improve their users’, and their own, experience.
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