Tackling Data Minimization At Scale

Data sprawl is a growing compliance, privacy, security, risk, and operational concern. To successfully address data minimization for large volumes of data at scale, enterprises need a multi-pronged data minimization strategy to classify and label data, files and documents at scale, and automatically identify duplicate and near-duplicate files.

Download this solution brief to learn more about an automated approach to data minimization, and how it helps enterprises understand what data to protect, migrate, govern or minimize.