Abstract: An embodiment of the invention may include a method, computer program product and system for redacting a document. The embodiment may include receiving an unredacted document. The embodiment may include determining portions of the unredacted document containing sensitive information. The embodiment may include applying a redaction method to the portions containing sensitive information to create a redacted document. The redaction method replaces the portion containing sensitive information with a different piece of content. The different piece of content correlates to a most stringent redaction method. The embodiment may include displaying the redacted document to a user. The embodiment may include determining the user is frustrated, and replacing the piece of content with a piece of content corresponding to a next most stringent redaction method from the list of redaction methods. The embodiment may include displaying the updated redacted document to the user.

Abstract: Embodiments of the present invention disclose methods and systems which receive a user credential corresponding to a user, a task to be performed by the user, a security policy including a user role, and sensitive information. These methods and systems dynamically provision virtual machines including un-redacted information from received sensitive information. Furthermore, a set of tools process the redacted information, based on the user credential, the task to be performed, and the security policy.

Abstract: An example computer-implemented method includes receiving, via a processor, a plurality of structured query statements associated with an application and a database. The method includes detecting, via the processor, a logical relationship between at least two of the plurality of structured query statements based on a common source, a predetermined threshold time, a common transaction. The method includes generating, via the processor, a model based on the detected logical relationship. The method further includes receiving, via the processor, a request to modify the database. The method also further includes modifying, via the processor, the database in response to detecting that a predetermined threshold probability of application functionality impairment is not exceeded.

Abstract: An example computer-implemented method includes receiving, via a processor, a plurality of structured query statements associated with an application and a database. The method includes detecting, via the processor, a logical relationship between at least two of the plurality of structured query statements based on a common source, a predetermined threshold time, a common transaction. The method includes generating, via the processor, a model based on the detected logical relationship. The method further includes receiving, via the processor, a request to modify the database. The method also further includes modifying, via the processor, the database in response to detecting that a predetermined threshold probability of application functionality impairment is not exceeded.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for text author anonymization, the method including intercepting a text from a text author, learning text author writing characteristics, where the text author writing characteristics includes frequently written terms, grammar patterns, grammar errors, and writing tone, identifying a portion of the text where the portion of the text identifies the text author by personal information where the personal information includes the text author writing characteristics, social status, geographical location, and specific organization, and replacing the portion of the text based on the portion of the text identifying the text author.

Abstract: An embodiment of the invention may include a method, computer program product and system for redacting a document. The embodiment may include receiving an unredacted document. The embodiment may include determining portions of the unredacted document containing sensitive information. The embodiment may include applying a redaction method to the portions containing sensitive information to create a redacted document. The redaction method replaces the portion containing sensitive information with a different piece of content. The different piece of content correlates to a most stringent redaction method. The embodiment may include displaying the redacted document to a user. The embodiment may include determining the user is frustrated, and replacing the piece of content with a piece of content corresponding to a next most stringent redaction method from the list of redaction methods. The embodiment may include displaying the updated redacted document to the user.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for text author anonymization, the method including intercepting a text from a text author, learning text author writing characteristics, where the text author writing characteristics includes frequently written terms, grammar patterns, grammar errors, and writing tone, identifying a portion of the text where the portion of the text identifies the text author by personal information where the personal information includes the text author writing characteristics, social status, geographical location, and specific organization, and replacing the portion of the text based on the portion of the text identifying the text author.

Abstract: Tracking eye movement during the completion of a form on a mobile computing device to determine possible errors and suggest changes to the form. To improve data quality, eye-tracking data is used to determine input fields on a form that cause issues for a user; based on the eye tracking data, suggestions are made to change a response or to modify the form.

Abstract: Tracking eye movement during the completion of a form on a mobile computing device to determine possible errors and suggest changes to the form. To improve data quality, eye-tracking data is used to determine input fields on a form that cause issues for a user; based on the eye tracking data, suggestions are made to change a response or to modify the form.

Abstract: Tracking eye movement during the completion of a form on a mobile computing device to determine possible errors and suggest changes to the form. To improve data quality, eye-tracking data is used to determine input fields on a form that cause issues for a user; based on the eye tracking data, suggestions are made to change a response or to modify the form.

Abstract: Tracking eye movement during the completion of a form on a mobile computing device to determine possible errors and suggest changes to the form. To improve data quality, eye-tracking data is used to determine input fields on a form that cause issues for a user; based on the eye tracking data, suggestions are made to change a response or to modify the form.

Abstract: Tracking eye movement during the completion of a form on a mobile computing device to determine possible errors and suggest changes to the form. To improve data quality, eye-tracking data is used to determine input fields on a form that cause issues for a user; based on the eye tracking data, suggestions are made to change a response or to modify the form.

Abstract: Tracking eye movement during the completion of a form on a mobile computing device to determine possible errors and suggest changes to the form. To improve data quality, eye-tracking data is used to determine input fields on a form that cause issues for a user; based on the eye tracking data, suggestions are made to change a response or to modify the form.

Abstract: Tracking eye movement during the completion of a form on a mobile computing device to determine possible errors and suggest changes to the form. To improve data quality, eye-tracking data is used to determine input fields on a form that cause issues for a user; based on the eye tracking data, suggestions are made to change a response or to modify the form.

Abstract: Tracking eye movement during the completion of a form on a mobile computing device to determine possible errors and suggest changes to the form. To improve data quality, eye-tracking data is used to determine input fields on a form that cause issues for a user; based on the eye tracking data, suggestions are made to change a response or to modify the form.