Which of the following is NOT a method to ensure data integrity?

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. Ensuring data integrity is crucial for maintaining the trustworthiness of information stored in databases or transmitted across networks.

Hashing is a robust method used to ensure data integrity. It involves generating a fixed-size hash value from input data. Any alteration to the original data results in a different hash, allowing detection of modifications.

Data consistency checks are processes that verify if data remains unchanged over time and is stored in a consistent state. These checks can identify discrepancies and anomalies that could indicate integrity issues.

Access controls play a crucial role in protecting data integrity by restricting who can modify or delete data. By ensuring that only authorized users have access to modify sensitive information, the risk of accidental or malicious alterations is minimized.

Random data generation, while it can be useful in certain contexts, does not serve as a method for ensuring data integrity. Instead, it is more often associated with testing, simulation, or data obfuscation, and it does not contribute to verifying or maintaining the fidelity of existing data.