Integrity in data security is dependent on which other principle?

Integrity in data security refers to the assurance that information is accurate, reliable, and has not been tampered with in an unauthorized manner. While all the principles mentioned are integral to an effective security framework, confidentiality is particularly significant in relation to integrity.

When we consider integrity, we're looking at the need to ensure that data remains unchanged and undamaged during storage, transmission, and processing. This concept is closely linked to confidentiality, as securing data from unauthorized access helps maintain its integrity. If only certain parties are allowed access to the data, there is a reduced risk of unauthorized alterations, thus safeguarding both the confidentiality of the information and its integrity.

Confidentiality ensures that sensitive information is only visible to those authorized to see it, preventing alterations and maintaining trust in the authenticity of that data. If confidentiality is compromised—such as with data breaches or exposure to unauthorized parties—there is a higher risk that the integrity of the data could also be jeopardized, leading to tampering or corruption of the information.

In summary, integrity is effectively maintained when confidentiality controls are in place, as they prevent unauthorized interactions that could lead to compromised data.