SecuPi enables easy discovery of sensitive data subjects and data flows across business applications. SecuPi’s Discovery methodology enables automatic (data-source), semi-supervised (data-flow) and supervised (screen-based) discovery and classification with unprecedented accuracy.

The SecuPi Data Security Platform has the ability to scan data platforms to discover and classify the data in order to know how to protect it. This SecuPi capability focuses on understanding the data format, the data sensitivity, and the data category. These attributes are then used to authorize access and decide how to de-identify the data. It also provides a quick way to validate your data classification in parallel with other data discovery solutions you may employ.

SecuPi’s Classification Engine enables the creation of a sensitive data catalog based on your organizationally defined classifications. This process involves scanning both metadata and sample data. The sampling process includes adjustable parameters to strike the right balance between accuracy and performance (e.g., the sample size can be set by the number of rows or as a percentage of the total rows in the table). SecuPi includes dozens of built-in classifiers for various types of PII, PCI, and PHI data elements.

Integration with Data Governance Technology

SecuPi can import data classifications from technologies such as Collibra, BigID, Alation, Microsoft Purview and others to support your security policies based on the nature and sensitivity of the data, or any other relevant attribute about the data. As this data is updated, the SecuPi policies can be updated automatically to support continued and up-to-date security of sensitive information.