Automated validation systems use a combination of algorithms and predefined rules to check data sets. They can be programmed to flag anomalies, such as outliers that deviate from expected ranges, or inconsistencies, such as mismatched data types. Advanced systems might also employ machine learning, adapting over time to recognize new patterns of errors or inconsistencies.
