Abstract: A device may receive data stored in one or more data sources associated with an organization based on utilizing one or more data discovery-related application programming interfaces (APIs) to access the data. The device may process, utilizing one or more data feature models via the one or more data discovery-related APIs, the data received from the one or more data sources to identify types of data included in the data based on a contextualization of the data. The one or more data feature models may identify a respective set of attributes expected to be included in the types of data. The device may perform multiple analyses of the data after identifying the types of data. The device may determine, based on a result of the multiple analyses, a score for the data. The device may perform one or more actions based on a respective result of the multiple analyses.

Abstract: Examples of an API assessment system are provided. The system may obtain a security assessment requirement from a user for surveillance of a plurality of application programming interfaces. The system may create a data corpus from the assessment data associated with the query. The system may create a sequence classification model from the data corpus. The system may identify a plurality of risk parameters and a plurality of risk mapping levels associated with the query. The system may create a risk profile for the plurality of application programming interfaces based on mapping the plurality of risk parameters to the plurality of risk mapping levels and the sequence classification model. The system may create a rectification corpus and a data rectification model comprising a plurality of remediations for automated healing of a risk identified by the risk profile. The system may generate a security assessment result for the resolution of the query.

Abstract: A device may receive data stored in one or more data sources associated with an organization based on utilizing one or more data discovery-related application programming interfaces (APIs) to access the data. The device may process, utilizing one or more data feature models via the one or more data discovery-related APIs, the data received from the one or more data sources to identify types of data included in the data based on a contextualization of the data. The one or more data feature models may identify a respective set of attributes expected to be included in the types of data. The device may perform multiple analyses of the data after identifying the types of data. The device may determine, based on a result of the multiple analyses, a score for the data. The device may perform one or more actions based on a respective result of the multiple analyses.

Abstract: A data intelligence platform may include a role-based workbench component configured to control access to or use of the data intelligence platform to identify an issue associated with data associated with an organization. The data intelligence platform may include a data intelligence component configured to: process the data to identify the issue related to the data, or perform a set of actions related to fixing the issue related to the data based on a result of processing the data. The data intelligence platform may include a data management component configured to facilitate access to a corpus component or to a source of the data. The data intelligence platform may include the corpus component configured to facilitate processing of the data to identify the issue or to perform the set of actions.