Dynamic Data Masking.
Automatic Obfuscation of Sensitive Data for Unauthorized Users.
Traditional data masking is a static operation; masking is applied to rows or columns of data at rest and is then removed at the time of use. It is generally an all-or-nothing process run at the row or column level with no ability to target sensitive data at a more granular level. This limitation can be problematic if data is entered in unexpected locations (first name in a notes field) or if new rows or columns are created without updating the masking policies.
DataStealth for Dynamic Data Masking is the most advanced and innovative policy-driven solution for protecting data. Policies can use attribute-based access control, role-based access control, or any other information made available to the policy, such as integrating with a third-party HR system to restrict access based on work relationships or user geolocation. DataStealth applies Dynamic Data Masking at various levels of detail, such as column, row, or application, and with various techniques like character masking, number masking, and data masking.
How DataStealth Protects Others.
“It was a breath of fresh air to go from learning about DataStealth, to deploying the solution within 30 days.”
"The approach to securing sensitive data and preventing breaches that DataStealth uses is unlike any cybersecurity solution we have seen DataStealth is extremely innovative, powerful, flexible, and scalable – and is supported by their team’s deep technical expertise."
“DataStealth is an extremely flexible and robust solution that helps us locate and protect sensitive data in a wide variety of systems – from our legacy mainframes to our latest cloud-based apps.”