Bank of America Corporation

Amijo Bearley

Kolt Bell

Craig Douglas Widmann

David Barnhardt

Daniel Van Vliet

Robert J Dominguez

Robert D Jones

David Kerman

John Tuders

Alex Stapleton

Alvino Sarran

Michael Ayers-Morris

Brandon Weeks

Aspects of the disclosure relate to deploying and utilizing a dynamic record identification and analysis computer system with event monitoring components. A computing device may receive account reconnaissance data identifying a first plurality of user accounts that have experienced at least one event associated with account security concern characteristics. The computing platform may analyze event history data associated with the first plurality of user accounts to identify one or more common interactions associated with a subset of the first plurality of user accounts. The computing platform may identify a point of compromise among the subset of the first plurality of user accounts. Subsequently, the computing platform may search enterprise user account records to identify a second plurality of user accounts that have at least one event associated with the point of compromise. The computing platform may add the second plurality of user accounts to an alert table.

Dynamic record identification and analysis computer system with event monitoring components

An illustrative method for identifying information associated with a ring of individuals performing improper financial activities may include combining a list of user identifiers with one or more attributes tables corresponding to the financial transactions. A computer device may analyze a first list of identifiers in relation to an attribute table, where the identifiers may be associated with one or more suspected improper financial activities and the attribute table may include attributes of one or more financial transactions performed over a specified duration. The computer device may then link the first list of identifiers with one or more attributes included in the attribute table to determine a second list of identifiers and the process may be repeated until a stopping condition has been reached. After the stopping condition has been met, the computer device may communicate a report to a user.

Improper financial activity detection tool

Systems and computer-readable media are disclosed for utilizing one or more databases to detect a point of compromise ('POC'). A POC detection computing platform may receive data associated with a potential point of compromise from a first computing system. The POC detection computing platform may extract data associated with the potential point of compromise from one or more central servers and/or databases. The extracted data may then be analyzed to determine if a point of compromise has been detected. The POC detection computing platform may transmit the results of the analysis to a second computing system.

System for utilizing one or more databases to identify a point of compromise

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Oxford, PA, United States of America

Amijo Bearley