Tata Consultancy Services Limited

Rohit Saxena

Sachin Premsukh Lodha

Manish Shukla

Sumesh Manjunath

Sutapa Mondal

Vijayanand Mahadeo Banahatti

Shirish Subhash Karande

Purushotam Gopaldas Radadia

Ravi Hanmant Mahamuni

Amit Prakash Jadhav

Systems and methods for sensitive audio zone rearrangement are provided that protects confidential and sensitive information such as user identifier during query processing and authentication. The sensitive information rearrangement system generates or permutes the actual user identifier in a privacy preserving manner. The sensitive information is extracted from an input being either a speech or DTMF tones, and a virtual user identifier is generated in real time, that is specific to a transaction to be performed, or a query initiation by a user in real-time. The sensitive information is rearranged which can be either DTMF tone or speech of user to generate the virtual user identifier.

Systems and methods for sensitive audio zone rearrangement

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.

Dynamic data masking for mainframe application

Disclosed is a method and system for automating a process associated with a web based software application. The method comprises capturing one or more activities performed by a user for the process. An activity of the one or more activities corresponds to one or more events. An event of the one or more events indicates a means of interaction of the user with the web based software application. The method further comprises extracting metadata associated with each activity of the one or more activities. The method comprises sensing a response of the web based software application for each activity performed by the user. The method comprises generating a rule for each activity based on the metadata extracted, the one or more events, and the response. The method further comprises configuring a script for the process by combining rules generated for the one or more activities.

Automating a process associated with a web based software application

The present disclosure provides systems and methods to estimate Importance Measure (IM) and temporal Importance Measure (IM) for any type of data in a distributed enterprise network by involving direct and indirect stakeholders of the data in the estimation process. Firstly data type of the received data is identified. Data type plugins including pre-defined classes, IM matrix and Temporal IM matrix are loaded for the identified data type. Extracted features from the data are appropriately mapped against pre-defined classes and then the IM is estimated. Temporal IM is estimated taking into account the current time and the rate of change.

Systems and methods for estimating temporal importance of data

The present disclosure provides systems and methods to optimize data backup in a distributed enterprise system by firstly generating a set of unique files from all the files available in the enterprise. A backup set comprising files to be backed up are then generated from the set of unique files and backup is scheduled in the order in which the files to be backed up are identified. Unique files are generated based on file sharing patterns and communications among users that enable generating a social network graph from which one or more communities can be detected and deduplication can be performed on the files hosted by client systems in these communities thereby conserving resources.

Growing community of inventors

Pune, India

Rohit Saxena