Which concept involves both the integrity and trustworthiness of data within a system?

The concept that involves both the integrity and trustworthiness of data within a system is data integrity. This principle ensures that the data is accurate, consistent, and reliable over its lifecycle. When data integrity is upheld, any information stored in a system cannot be improperly modified, unauthorized alterations are prevented, and the validity of the data is assured.

Data integrity frequently encompasses mechanisms such as validation checks, error detection and correction, and the use of cryptographic techniques to maintain the authenticity and reliability of the data. As a result, organizations rely on data integrity to operate securely and make informed decisions based on trustworthy information.

In contrast, data availability focuses on ensuring that data is accessible to authorized users whenever it is needed, without specifically addressing the correctness or trustworthiness of the data itself. Data sensitivity deals with the classification of data based on its importance and the risk associated with its exposure, while data validity pertains to the accuracy of data within a context but does not broadly encompass the overarching concept of data integrity.