American Express Travel Related Services Company, Inc.

Kavita Gupta

Debasish Das

Jeremy David Seideman

Gurusamy Ramasamy

Swatee Singh

Atul R Dalmia

Sulabh Shukla

Anna Korsakova Bain

Paramjit Singh

Ashok Nair

Jennifer Tam

Yan Zhang

Venkata Srikanth Dasari

Karin Fourie

Gita Kolla

Bimal Ramankutty

Sowmya Benavides

Nikitha Kasam

Disclosed are various embodiments for augmented intelligent machine for systematic attribution of data security. A set of global regulations is received by the system. Next, at least one decision rule for mapping one or more data elements is output based at least in part on the set of dynamic global regulations. A data input is received from at least one data source. Next, the data input is parsed to determine at least one sensitive data elements. Then, a confidentiality level of at least one sensitive data element is determined. The ingesting table is joined with a drive mapping data set. Finally, at least one security policy is applied to a type of data input based at least in part on the drive mapping data set or the confidentiality level.

Augmented intelligent machine for systematic attribution of data security

The method includes receiving historical data from a first data source; analyzing the historical data for a desired characteristic; determining a representative value for the desired characteristic of the historical data; determining a first data expectation for the historical data based on the representative value; transmitting the first data expectation to a first data recipient; receiving first incoming data from the first data source; analyzing the desired characteristic of the first incoming data; determining a first incoming data value for the desired characteristic for the first incoming data; comparing the first incoming data value and the representative value; determining a first difference between the first incoming data value and the representative value; and/or comparing the first difference to a difference threshold which indicates whether a difference between an incoming data value and the representative value is significant.

Data management system

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Jersey City, NJ, United States of America

Kavita Gupta