What technique gathers and generalizes data to ensure individual protection?

The technique that effectively gathers and generalizes data to ensure individual protection is aggregation and banding. This method involves collecting data from multiple sources, summarizing it, and then presenting it in a way that does not expose individual identifiers. By consolidating individual records into larger groups or bands, the risk of revealing sensitive personal information is reduced while still allowing for statistical analysis and insights. This approach is particularly useful in scenarios where data privacy is paramount, as it allows organizations to derive valuable information without compromising the confidentiality of individual data points.

In contrast, other techniques like anonymization specifically seek to remove identifiable information from data sets, while tokenization substitutes original data with unique identifiers for processing without revealing the actual data. Data scrubbing involves cleaning data by removing inaccuracies or inconsistencies but does not inherently generalize data for protection. Each of these methods serves different purposes, but for the goal of gathering and generalizing data specifically to protect individual identities, aggregation and banding are most appropriate.