More than 90% of healthcare IT networks have IoT devices connected to them, while more than two thirds of respondents to a new survey say traditional security solutions are sufficient to secure IoT-connected medical devices.
The survey, conducted by IoT security solutions provider ZingBox, highlights the state of ‘misconceptions’ in the healthcare industry, according to the company.
More than three quarters (76%) of IT decision makers within healthcare organisations were confident or ‘over-confident’ about the security of the connected devices on the network.
The findings highlight the need to tackle the different level of security challenges posed by IoT technology in the sector. ZingBox CEO and co-founder, Xu Zou, advises IT security personnel to gain a deeper understanding of the different personalities of the connected IoT devices to accurately foresee any impending internal or external threats. He said they should consider adopting modern techniques such as cloud, machine learning and real-time remediation to correspond to IoT requirements.
In February, ZingBox launched a specialised security solution focused on services protection, IoT Guardian. It was claimed to be the first in the industry to use a combination of deep learning algorithms to learn about the unique personalities of different IoT devices and enforce acceptable behaviour. It can also add on to its previous knowledge by continually self-learning and can discover, detect and defend critical IoT services and data while avoiding false positives with a claimed 99.9% accuracy.
Interested in hearing industry leaders discuss subjects like this and sharing their IoT use-cases? Attend the IoT Tech Expo World Series events with upcoming shows in Silicon Valley, London and Amsterdam to learn more.