Abstract: Disclosed are various embodiments for augmented intelligent machine for systematic attribution of data security. A set of global regulations is received by the system. Next, at least one decision rule for mapping one or more data elements is output based at least in part on the set of dynamic global regulations. A data input is received from at least one data source. Next, the data input is parsed to determine at least one sensitive data elements. Then, a confidentiality level of at least one sensitive data element is determined. The ingesting table is joined with a drive mapping data set. Finally, at least one security policy is applied to a type of data input based at least in part on the drive mapping data set or the confidentiality level.

Abstract: Disclosed are various embodiments for configurable and event driven smart hybrid cloud orchestrators. Various embodiments include a first computing device that can receive a request that includes various configurations to perform one or more actions. The first computing device can generate machine-readable instructions to perform a first action. The first computing device can send a first event to an event hub that includes the machine-readable instructions. The second computing device can receive the first event from the event hub and provision computing resources. The second computing device can then modify the machine-readable instructions based on the computing resources and then execute the machine-readable instructions. The second computing device can send a second event indicating that the first action has completed. The first computing device can receive the second event from the event hub.

Abstract: Example aspects include techniques for implementing a rapid incident management system. These techniques include determining coverage information indicating a relationship between an incident and a plurality of incident assignment groups, and determining a plurality of incident features based on the coverage information and an incident description corresponding to the incident. In addition, the techniques include generating assignment likelihood information for each of the plurality of incident assignment groups based on the plurality of incident features, assigning the incident to an incident assignment group having a highest assignment likelihood value within the assignment likelihood information, and transmitting a notification to a device associated with the incident assignment group.

Abstract: Disclosed are various embodiments for augmented intelligent machine for systematic attribution of data security. A set of global regulations is received by the system. Next, at least one decision rule for mapping one or more data elements is output based at least in part on the set of dynamic global regulations. A data input is received from at least one data source. Next, the data input is parsed to determine at least one sensitive data elements. Then, a confidentiality level of at least one sensitive data element is determined. The ingesting table is joined with a drive mapping data set. Finally, at least one security policy is applied to a type of data input based at least in part on the drive mapping data set or the confidentiality level.