Digital twins are only as good as the pipes that feed them

Digital twins require a continuous, reliable, and secure data flow between physical systems and their virtual counterparts to remain accurate and useful. As industries like manufacturing, healthcare, and logistics adopt digital twins, the sensitivity of the data they transmit increases. Traditional traffic inspection methods that decrypt, inspect, and re-encrypt data introduce latency and risk. Newer patented approaches to encrypted traffic analysis — such as metadata-based threat detection — allow organizations to monitor network activity and detect anomalies without decrypting payload data, preserving confidentiality while maintaining visibility. The underlying infrastructure, not just the sophistication of the twin model itself, ultimately determines the value digital twins deliver.