Abstract: Described herein is a method for rendering specification creation, including identifying, within one or more contents, labels as sensitive labels when data associated with the label are determined sensitive based on one or more user-defined policy rules, wherein the identifying considers structural locations of labels determined as sensitive and the data associated with the sensitive label; configuring rendering specifications for data associated with the identified sensitive labels; and associating the configured rendering specifications with the sensitive labels of the data determined as sensitive, for execution in real time.

Abstract: Systems and methods for masking content of different types are described. The system may implement the method comprising receiving a request to mask input content that includes sensitive and non-sensitive data. The method also comprises parsing the input content to create a content specific structure (CSS) to organize the input content in a structured format. The CSS includes a plurality of CSS nodes. The method analyses each CSS node against a pre-defined privacy policy and identifies sensitivity of the each CSS node. The method also creates a generalized masking structure (GMS) by creating a GMS node corresponding to each CSS node. Each GMS node contains sensitivity information related to corresponding CSS node. Data represented by GMS is masked based upon the sensitivity information stored in it.

Abstract: System and method for cheque image data masking are disclosed. In an example, a cheque image and a data file are received, the data file includes data records with values corresponding to sensitive data fields in the cheque image. Further, a template cheque image matching to the cheque image and redacted information associated with the template cheque image are obtained. Furthermore, a blank image snippet is generated for each sensitive data field in the cheque image based on a part of the obtained information about sensitive fields. Moreover, values corresponding to each sensitive field from the input data file are written to the blank image snippet based on the remaining information about sensitive fields. Also, the template cheque image is updated with the image snippet. Data of non-sensitive fields in the cheque image is then copied to the template cheque image, thereby facilitating cheque image data masking.

Abstract: A system and a method for managing privacy of data are provided. The method includes causing generation of a trigger notification notifying an access to one or more fields of a user-profile in a first application. The trigger notification generated is by a second application integrated with the first application. The first application includes a plurality of fields comprising sensitive data associated with the user-profile. The method further includes enforcing one or more access preferences corresponding to the one or more fields by the second application on the generation of the trigger notification. The one or more access preferences are based at least on one of a plurality of preconfigured rules and contextual information associated with the trigger notification. Enforcing the one or more access preferences facilitates in managing data privacy.

Abstract: A system and method are provided for enforcing user policies on database. In one aspect a user policy and/or enterprise policy is predefined and mapped to the column of the database. Further, the query is run through a query parsing module, the result is sent to a query analyzing module to analyze the sensitivity of each query. A query rewriting module rewrites the query and the rewritten query is sent to the database. A sensitive tree is generated using database metadata, which is used during query analysis and query re-writing. In cases the original query does not contain any set operators the rewritten query is executed on the database and results are displayed as per the user policy. The cases where the original query comprises set operators a function called merger is implemented in the database or at the proxy server and data is displayed as per the user policy.

Abstract: System and method for enablement of data masking for web documents are disclosed. In an example, a rendering specification associated with reference web documents and previewed reference web documents are received. Further, a first web document processed based on the rendering specification is received. Furthermore, a status of the rendering specification is determined upon processing the first web document. In addition, the first web document and the previewed reference web documents are analyzed to determine a set of candidates for a sensitive label and/or data associated with a sensitive label in the first web document when the status of the rendering specification is a sensitive label not found and/or data associated with a sensitive label not found. The rendering specification is then updated upon determination. Masking of the data associated with sensitive labels in the first web document is then enabled using the updated rendering specification.

Abstract: System and method for enablement of data masking for web documents are disclosed. In an example, a rendering specification associated with reference web documents and previewed reference web documents are received. Further, a first web document processed based on the rendering specification is received. Furthermore, a status of the rendering specification is determined upon processing the first web document. In addition, the first web document and the previewed reference web documents are analyzed to determine a set of candidates for a sensitive label and/or data associated with a sensitive label in the first web document when the status of the rendering specification is a sensitive label not found and/or data associated with a sensitive label not found. The rendering specification is then updated upon determination. Masking of the data associated with sensitive labels in the first web document is then enabled using the updated rendering specification.

Abstract: Systems and methods for masking content of different types are described. The system may implement the method comprising receiving a request to mask input content that includes sensitive and non-sensitive data. The method also comprises parsing the input content to create a content specific structure (CSS) to organize the input content in a structured format. The CSS includes a plurality of CSS nodes. The method analyses each CSS node against a pre-defined privacy policy and identifies sensitivity of the each CSS node. The method also creates a generalized masking structure (GMS) by creating a GMS node corresponding to each CSS node. Each GMS node contains sensitivity information related to corresponding CSS node. Data represented by GMS is masked based upon the sensitivity information stored in it.

Abstract: This disclosure relates generally to data masking, and more particularly to method and system for dynamic data masking for mainframe application. In one embodiment, the method includes receiving a request to access a mainframe application from a user profile. A role assigned to the user-profile is fetched from a roles-repository. The role defines rights associated with the user-profile to access information from the mainframe application. Corresponding to the request, an access session is initiated based on the role, and a screen is received. The screen includes a multiple fields, where one or more fields includes sensitive data associated with the mainframe application. Contextual information associated with the plurality of fields is identified corresponding to the session. Rules indicative of the fields to be masked, are fetched corresponding to the screen based on the role. The fields are masked based on the rule and the contextual information associated with the fields.

Abstract: Disclosed is a method and system to provide management of test data, the management performed during at least one stage associated with lifecycle of the test data. The system comprises a processing engine, a categorization module, a privacy regulation module, a meta-data analyzer, and an output generation module. The processing engine configured to generate the test data in response to a test data request. The processing engine further comprises of the categorization module configured to categorize the test data request. The processing engine further comprises of the privacy regulation module configured to model at least one privacy regulation in accordance with a geographical location and an enterprise domain. The processing engine further comprises the meta-data analyzer configured to analyze an imported meta-data. The system further comprises of the output generation module configured to provide the test data so requested.

Abstract: A system and a method for managing privacy of data are provided. The method includes causing generation of a trigger notification notifying an access to one or more fields of a user-profile in a first application. The trigger notification generated is by a second application integrated with the first application. The first application includes a plurality of fields comprising sensitive data associated with the user-profile. The method further includes enforcing one or more access preferences corresponding to the one or more fields by the second application on the generation of the trigger notification. The one or more access preferences are based at least on one of a plurality of preconfigured rules and contextual information associated with the trigger notification. Enforcing the one or more access preferences facilitates in managing data privacy.

Abstract: Described is a method for dynamic data masking (DDM) of sensitive data. The method for DDM comprises receiving a response output comprising sensitive data, based on a client request, from an application, and identifying a main masking specification, based on the response output, for masking of the sensitive data in the response output. Further, the response output is parsed for creating a Document Object Model (DOM) tree for the response output. Status of a masking approach indication field of the main masking specification is checked, and masking is performed on nodes in the DOM tree comprising the sensitive data, based on the status of the masking approach indication field of the main masking specification.

Abstract: The present subject matter discloses a system and a method for providing augmented based learning content to a user. In one embodiment, based on a learning source accessed by the user, the system is enabled to extract topics for retrieving learning content from online or offline resources such as the Internet or a system database, respectively. Thus, the learning source may be augmented by retrieving the learning content from the online or offline sources. Further, information layers may be generated based on topics/subjects being read by the user. The generated information layers may be populated with the retrieved learning content. The system may be enabled for matching the learning content populated in the information layers with a profile of the user stored in a user profile database. Based on the matching, the learning content may be delivered to the user. The delivered learning content may be personalized to the user.

Abstract: Disclosed is a method and system to provide management of test data, the management performed during at least one stage associated with lifecycle of the test data. The system comprises a processing engine, a categorization module, a privacy regulation module, a meta-data analyzer, and an output generation module. The processing engine configured to generate the test data in response to a test data request. The processing engine further comprises of the categorization module configured to categorize the test data request. The processing engine further comprises of the privacy regulation module configured to model at least one privacy regulation in accordance with a geographical location and an enterprise domain. The processing engine further comprises the meta-data analyzer configured to analyze an imported meta-data. The system further comprises of the output generation module configured to provide the test data so requested.

Abstract: Described is a method for dynamic data masking (DDM) of sensitive data. The method for DDM comprises receiving a response output comprising sensitive data, based on a client request, from an application, and identifying a main masking specification, based on the response output, for masking of the sensitive data in the response output. Further, the response output is parsed for creating a Document Object Model (DOM) tree for the response output. Status of a masking approach indication field of the main masking specification is checked, and masking is performed on nodes in the DOM tree comprising the sensitive data, based on the status of the masking approach indication field of the main masking specification.

Abstract: Described herein is a method for rendering specification creation, including identifying, within one or more contents, labels as sensitive labels when data associated with the label are determined sensitive based on one or more user-defined policy rules, wherein the identifying considers structural locations of labels determined as sensitive and the data associated with the sensitive label; configuring rendering specifications for data associated with the identified sensitive labels; and associating the configured rendering specifications with the sensitive labels of the data determined as sensitive, for execution in real time.

Abstract: Methods and systems described herein implement data generation for purposes such as data-driven assessment of an application, a process, or a system. In one implementation, seed data having one or more characteristics is received. Once received, the seed data is repeatedly transformed to generate a desired volume of an assessment data having the one or more characteristics associated with the seed data.