Which aspect of data management focuses on maintaining the integrity and security of data?

The focus on maintaining the integrity and security of data falls primarily under data security. This encompasses a variety of practices and technologies designed to protect data from unauthorized access, corruption, or theft throughout its lifecycle. Data security measures often include encryption, access controls, authentication processes, and monitoring for breaches or anomalies.

While data governance does play a role in overall data management by establishing policies, standards, and processes for ensuring data quality and compliance, its scope is broader and encompasses the entire data management framework. Data architecture refers to the structural design and organization of data systems and does not specifically address security and integrity. Data modeling involves creating representations of data structures and relationships, which is essential for understanding data requirements but does not directly deal with the security aspects.

Therefore, the correct choice of data security directly aligns with the objective of ensuring data integrity and protecting sensitive information from various risks.