The Trustworthiness of Data

A.

Integrity is focused on the trustworthiness of data as well as the prevention of unauthorized modification or tampering of it.

A prime consideration for maintaining integrity is an emphasis on the change management and configuration management aspects of operations, so that all modifications are predictable, tracked, logged, and verified, whether they are performed by actual human users or systems processes and scripts.

The security concept that is focused on the trustworthiness of data is Integrity.

Integrity refers to the accuracy, consistency, and trustworthiness of data over its entire life cycle. It ensures that data is not modified or tampered with in an unauthorized or unintended way. Maintaining data integrity is critical in ensuring that the data is reliable and can be trusted.

Data integrity is achieved through various techniques such as access control, data validation, checksums, digital signatures, and cryptographic mechanisms. These techniques help to prevent unauthorized modifications to the data and provide assurance that the data has not been tampered with.

In addition, data integrity also involves ensuring that the data is complete and consistent. This means that all data elements are present and are in the correct format. Ensuring data completeness and consistency is important in preventing errors and ensuring that the data can be used effectively.

In summary, integrity is a critical security concept that ensures the trustworthiness of data. By maintaining data integrity, organizations can ensure that their data is accurate, reliable, and can be trusted for decision-making and other critical activities.