In a few short years, Box has become a go-to provider for data storage and collaboration in the enterprise system. Organizations moving from the traditional data center to Box face unique privacy and security challenges, particularly when it comes to identifying sensitive data in Box and ensuring the appropriate controls to secure it.
Native platform restrictions and API limitations inside Box can make it difficult to scan documents at scale, identify data that is personal or sensitive, and understand metadata for simplifying governance and data lifecycles.
BigID has introduced a number of innovations to scan and process Box content for privacy and security use cases. It has developed custom API connections to scale scans for security-centric classification, privacy-centric correlation, and data lifecycle-centric metadata cataloging. It provides native support for Box’s index to speed CCPA data rights fulfillment and includes features like data access intelligence to reduce access risk.
