Microsoft Azure Fundamentals AZ-900 Practice Exam 2025 – Complete Study Resource

The term that best describes the policies and practices used to protect sensitive data is "information security." Information security encompasses a broad range of strategies and measures aimed at protecting digital data from unauthorized access, corruption, or theft. It includes various practices such as encryption, access controls, security protocols, and employee training to ensure that sensitive information is safeguarded from potential threats.

Data governance refers to the overall management of data availability, usability, integrity, and security within an organization. While it is related to data protection, it focuses more on the policies and procedures for managing data rather than the specific protective measures themselves.

Compliance assurance involves ensuring that an organization meets legal and regulatory requirements related to data protection and privacy, but it is a component of a broader strategy that includes information security.

Data analysis involves examining and interpreting data to extract insights and information, but it does not directly deal with protecting sensitive data.

Thus, information security is the most appropriate term for the policies and practices aimed specifically at protecting sensitive data.