Tata Consultancy Services Limited

Jayant Sudhakarrao Dani

Rohit Jain

Ashim Roy

Nikhil Girish Patwardhan

Sridhar Gopal Pattar

Bhushan Vidyadhar Bandekar

Kiran Kumar Nutheti

Archana Joseph

Utsav Paragbhai Shah

Aniket Dilip Kulkarni

Spondita Paul

Anantha Desik

The disclosure generally relates to systems and methods for detecting personally identifiable information (PII). The present systems and methods solve the problem of detecting the PII and the PII column names in the customer database with enhanced accuracy, by developing a PII classification model trained with an enhanced and effective training dataset. An enhanced sub-metadata from the metadata having the plurality of the column names is obtained by using highest match distance values, the string comparator values, and the is PII indicator values. The enhanced sub-metadata comprising the column names that can be easily differentiated as PII columns or non-PII columns. Hence the training dataset and the testing dataset obtained from the enhanced sub-metadata improves the accuracy of the PII classification model. Preventive measures can be taken to protect such detected PII present under the PII columns by employing various data privacy and protection techniques.

Systems and methods for detecting personally identifiable information

Techniques for consent centric data compliance checking are disclosed. In an example embodiment, multiple applications associated with an organization are received. Further, a purpose for each of the multiple applications associated with the organization is derived. Furthermore, consents of data subjects are captured for the derived purpose of each of the multiple application in a data subject preference master. Also, reconciliation of the data subject preference master and data subjects' data available in the organization is performed to determine consent lacking information.

System and method for consent centric data compliance checking

Systems and methods for signal detection are described. The method comprises obtaining, by a data processing module, data from one or more data sources. The method further comprises standardizing the data, by the data processing module, based on at least one template to obtain standardized data. The standardized data have data properties depicting a format and a size of the data. Further, the method comprises determining, by an analysis module, one or more detection rules based on at least one of recommendation data and the data properties of the standardized data. The method further comprises detecting, by the analysis module, at least one signal present in the standardized data based on the one or more detection rules.

Systems and methods for signal detection in pharmacovigilance using distributed processing, analysis and representing of the signals in multiple forms

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Mumbai, India

Jayant Sudhakarrao Dani