What concept ensures that sensitive data is safeguarded in AI applications?

The concept that ensures sensitive data is safeguarded in AI applications is data governance. Data governance encompasses the overall management of data availability, usability, integrity, and security. It establishes policies and procedures to protect data from unauthorized access and breaches, which is especially critical when handling sensitive information in AI systems. This framework ensures compliance with regulations, sets standards for data quality, and includes protocols for data access and sharing, thereby ensuring that sensitive data is handled responsibly and securely throughout its lifecycle.

While digital transformation entails integrating digital technology into all areas of a business, and could enhance data handling processes, it does not specifically address the safeguarding of sensitive data. Neural networks are a type of AI technology used for processing data but do not directly relate to data protection. Automation refers to the use of technology to perform tasks with minimal human intervention, but it also does not focus on safeguarding sensitive information. Data governance specifically targets the crucial aspects of safety and security necessary for managing sensitive data correctly in AI applications.