Description: Data integrity monitoring is the process of ensuring that data remains accurate and consistent throughout its lifecycle. This process involves the implementation of various techniques and tools that allow for the detection and correction of errors, as well as the prevention of data corruption. Data integrity is fundamental in any information system, as it ensures that the information stored and processed is reliable and useful for decision-making. The main characteristics of data integrity monitoring include continuous verification of data accuracy, anomaly detection, and the implementation of access controls to protect sensitive information. Additionally, this process relies on the use of hashing algorithms, checksums, and audit logs, which help identify any unauthorized alterations. The relevance of data integrity monitoring has increased with the exponential growth of digital information and the need to comply with data protection regulations. In an environment where data is a critical asset, maintaining its integrity is essential for user trust and organizational reputation.
