Abstract: Various methods, apparatuses/systems, and media for automatically protecting sensitive information data entering application logs, events, metrics, traces, or other outputs are disclosed. A processor receives source code associated with an application being developed; parses the source code and identifies variables or fields in the source code that include sensitive information data; applies artificial intelligence or machine learning algorithm to the source code to automatically identify variables that contain the sensitive information data based on the identified variables or fields and annotating accordingly. Each annotation is a hint that data associated with corresponding annotation is confidential and sensitive information that should not be published, logged, or printed.

Abstract: A method for facilitating an audit of an event-based business process is provided. The method includes identifying an application in the event-based business process; initiating a subscription with the identified application; recording a published event based on the subscription; correlating, by using a correlation identifier, the recorded published event with the event-based business process, the correlation identifier including a value that references an event chain; and storing, in a memory, the correlated published event based on an event sourcing pattern. The method further includes determining, by using the correlated published event, an anomaly in the event-based business process; and displaying, via a graphical user interface, a notification that includes information relating to the anomaly and a recommended compensating action.

Abstract: A method for facilitating an audit of an event-based business process is provided. The method includes identifying an application in the event-based business process; initiating a subscription with the identified application; recording a published event based on the subscription; correlating, by using a correlation identifier, the recorded published event with the event-based business process, the correlation identifier including a value that references an event chain; and storing, in a memory, the correlated published event based on an event sourcing pattern. The method further includes determining, by using the correlated published event, an anomaly in the event-based business process; and displaying, via a graphical user interface, a notification that includes information relating to the anomaly and a recommended compensating action.

Abstract: A Delta Framework program (DF) automatically detects and prevents breaking scenarios during an automated software build by identifying a build artifact from a list of build artifacts in a repository; comparing the build artifact to a current software build; identifying a delta between the build artifact and the current software build; determining whether the delta has a link to a rule in the rules database; responsive to the artifact having a link to a rule, determining whether the rule identifies a breaking scenario; responsive to the rule identifying the breaking scenario, taking an action specified by the rule.

Abstract: A Delta Framework program (DF) automatically detects and prevents breaking scenarios during an automated software build by identifying a build artifact from a list of build artifacts in a repository; comparing the build artifact to a current software build; identifying a delta between the build artifact and the current software build; determining whether the delta has a link to a rule in the rules database; responsive to the artifact having a link to a rule, determining whether the rule identifies a breaking scenario; responsive to the rule identifying the breaking scenario, taking an action specified by the rule.