From a security perspective, we also tend to look at IoT in the wrong way. With every new device, we assume the technology will be vulnerable with a very high risk of compromise. The reality is that most IoT devices have a very low risk individually, but their functionality is what leaves them susceptible.
There is a trade-off between technology innovation and security. The adoption of emerging technologies like 5G will fuel the proliferation of Internet of Things (IoT) which are often built with basic security controls, creating a larger attack surface. At the same time, reliance on data means that data breaches can cause greater damage.
New research has found that while most consumers are taking necessary security precautions to protect their online accounts, businesses may not be doing enough to protect their information – inadvertently driving sales to competitors that can.
Two-fifths (40%) of consumers hold business leaders personally responsible for ransomware attacks businesses suffer, according to global research from Veritas Technologies.
Recently, data tokenization has proved to be a successful protection method for securing sensitive information and all instances of personal data. This is because it allows information to retain its analytical value, while ensuring that it meets regulatory requirements.
Why does the practice of Data Economy typically requires a solid understanding of the characteristics of the underlying data resource? And how can that data be transformed into useful intelligence, where these processes are carried out with the upmost care to represent the interests of the Data Subject?
