What key principle underlines the privacy requirements determination in SDLC?

The correct answer is the principle of data minimization, which plays a crucial role in identifying privacy requirements within the Software Development Life Cycle (SDLC). Data minimization emphasizes that organizations should only collect, process, and store the minimum amount of personal data necessary to achieve their specific purposes. This principle not only reduces the risk of data exposure and misuse but also aligns with various privacy regulations and frameworks, such as the General Data Protection Regulation (GDPR).

By implementing data minimization within the SDLC, organizations can better ensure that they are respecting individuals' privacy rights and fulfilling compliance obligations. This involves assessing what data is truly needed at each stage of development and making deliberate decisions to limit the collection and retention of personal data.

While access control, data portability, and data integrity are important aspects of overall data security and privacy management, they do not specifically address the initial determination of privacy requirements in the context of minimizing data handling practices. Access control focuses on who can access the data, data portability relates to the ability to transfer data between systems, and data integrity ensures that the data remains accurate and reliable. Data minimization directly addresses the foundation of privacy requirements by limiting the amount of data used, making it the key principle in this scenario.