Zingbox: Survey shows lack of understanding of IoT security in healthcare
According to the company’s survey, more than 90% of healthcare IT networks have IoT devices connected.
At the start of July, Zingbox concluded a US-based survey that found the bulk of healthcare IT networks not only had IoT devices connected, but also utilised current-gen laptop and server security technologies to keep their network secure.
The survey conducted by the IoT security solution provider found that 90% of the participating healthcare providers reportedly have IoT devices connected to their IT networks. Zingbox also found that 70% believed that traditional security technologies designed for laptop and servers were adequate for securing IoT connected medical devices.
Commenting on the survey, Xu Zou, CEO and co-founder of ZingBox, explained: "The survey results demonstrate the current state of confusion and misconceptions abound in the healthcare industry on how best to secure connected medical devices. The need to gain a deeper understanding of the unique individual personalities of IoT devices remains a foreign concept to many. Unfortunately, you need to understand the device personalities to gain accurate visibility and protection."
He added: "IoT technology presents special challenges to a healthcare organisation's ability to protect itself from both insider threats as well as external cyber-attacks across a wide range of attack vectors, as demonstrated by the most recent WannaCry ransomware and NotPetya wiperware attacks. As these attacks continue to step to the forefront, companies deploying IoT devices need to be more cognizant than ever of their security measures."
May Wang, CTO and co-founder of ZingBox, said: "This is a tremendous opportunity to raise awareness of healthcare organisations regarding their perception of security and their need to consider modern techniques such as cloud, machine learning and real-time remediation across an organisation's entire IoT footprint. IoT requires a more thorough approach to constantly monitor for deviations in behaviour and provide alerts for suspicious behaviour."