Original press release published here.

NEW YORK, NY – April 11, 2023 – BigID, the leading platform for data security, compliance, privacy, and governance, today announced a breakthrough in data cleanup with the launch of its industry-first ML-powered solution for finding duplicate and similar data content. The innovative technology uses groundbreaking AI to locate both similar and duplicate data on any data set, enabling organizations to easily identify duplicate data as well as redundant, obsolete, or trivial (ROT) data. These transformative capabilities mean that organizations can reduce their storage cost, accelerate compliance, and improve cybersecurity across their environment.

Duplicate and redundant data are a treasure trove for cybercriminals - exponentially increasing the risk of data leaks, data breaches, and compromised data. By reducing the attack surface and reducing duplicate and redundant data, organizations can improve their system hygiene, reduce insider risk, and get more value from their data.

With BigID's powerful data minimization and cleanup capabilities, organizations can now automatically find duplicate data quickly and delete it in accordance with retention policies - enabling full data lifecycle management across all of their data, everywhere. This not only helps reduce risk and improve security posture, but also saves time and resources that would otherwise be spent manually sorting through large amounts of data.

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