Introducing Column-Level Security for Your Data
Blog post from Sigma
Data leaders are challenged to leverage business intelligence without compromising data security, particularly through the implementation of Column-Level Security (CLS), a crucial approach for managing access to sensitive data. CLS allows organizations to control data access at a granular level, ensuring that only authorized individuals view specific columns, thus safeguarding sensitive information and maintaining regulatory compliance. This method is strategically important for industries like healthcare and human resources, where data privacy is paramount, enabling organizations to hide or mask personal identifiers while still extracting valuable insights. Sigma's introduction of CLS aims to facilitate secure data sharing and collaboration by allowing tailored access without duplicating datasets or maintaining complex security mappings, making it easier to manage large-scale data environments in cloud-based and multi-tenant settings. By integrating CLS with user attributes, Sigma provides organizations with a scalable and manageable way to control data access, enhancing both internal and external data-driven decision-making while adhering to stringent security protocols.