Utilize a custom machine learning model designed to estimate the risk of re-identification.

Count the occurrences of quasi-identifiers using Data Loss Prevention infotypes as a measure of risk.

Conduct a re-identification risk analysis with the Data Loss Prevention service for accurate risk assessment.

Apply a re-identification infotype to each document containing quasi-identifiers to evaluate risk levels.