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?
The best way to prevent scripting attacks, such as those that implement Python back doors or compromise PowerShell, is to implement identity-based zero trust. In a zero trust environment, IT treats the internal network as if it were the public internet, a place where nothing can be trusted, and anything can be a threat.
