Description: Integrity failure refers to a situation where data is not accurate or consistent. This concept is fundamental in the field of computing and data management, as data integrity is crucial for informed decision-making and the efficient operation of systems. An integrity failure can arise from various reasons, such as human errors, hardware failures, software issues, or malicious attacks. The main characteristics of an integrity failure include loss of data accuracy, inconsistency between different data sources, and the inability of systems to validate the authenticity of information. The relevance of integrity failure lies in its potential impact on user trust, the quality of data analysis, and information security. In critical environments, such as the financial sector or healthcare, an integrity failure can have serious consequences, including financial losses, damage to reputation, and risks to patient safety. Therefore, it is essential to implement control and validation measures to ensure data integrity and mitigate the risks associated with these failures.
