As enterprises seek to become more analytically driven, they face a balancing act: capitalize on the proliferation of data science throughout the company, while protecting sensitive data from loss, misuse, or unauthorized disclosure. However, more regulation of data privacy is complicating how companies make data available to analysts. This white paper discusses common vulnerabilities to data in motion and at rest, and the controls available to Greenplum users both natively and via Pivotal partner solutions. With this portfolio of controls, enterprises can protect sensitive data while preserving access to the users who need to make use of it.
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