Data Security and Privacy in the Age of AI and Digital Twins

Abstract

Data security and privacy have emerged as businesses struggle with the growing digitization of operations and the abundance of data in the age of artificial intelligence and digital twins. An overview of the issues and solutions relating to data security and privacy in the context of AI and digital twins is given in this chapter. The chapter emphasizes the value of data classification and recognizing how sensitive the data being created and used is. The necessity of strong security measures, such as access controls, authentication procedures, and encryption methods, is emphasized in order to safeguard data against unwanted access and breaches. To further assure data security and compliance, the chapter underlines the significance of ongoing monitoring, auditing, and risk assessment procedures. It examines how to successfully detect and mitigate security problems by utilizing real-time monitoring, routine audits, and proactive risk assessments.