Bank of America Corporation

Michelle Andrea Boston

Ilya Lapsker

Parthiban Tiruvayur Shanmugam

Durga Prasad Turaga

Kamalanathan Jeganathan

Asim S Mohammad

Timothy J Bendel

Kyle Scott Sorensen

Joseph C Corbett

Conor Mitchell Liam Nodzak

Wyatt Edward Maxey

Candace R Gordon

Sandip Kumar

Brian C Busch

Fernando A Maisonett

Michael S Karafotis

Shreyas Srinivas

Laurie Readhead

Constance Jones Suarez

Prashant Ranjan Srivastava

Miriam Levinsohn

Angela Dawn Roose

Nikhil Ram

Mary Kathleen Riley

Sachin Varule

Jason Kenneth Bellew

Jamie Gilchrist

Ravindra Bandaru

Lisa Julia Brown

Christie M Weekley

Dnyanesh P Ballikar

Ananth Rajagopalan

Annabelle Williamson McLemore

Prasad V Annadata

Musa Ajakaiye

Christopher Emmanuel Huntley

Jesse Antonio Hernandez

Benjamin Judson Gaines, Iii

Noel Mary Fuller

Terri Dorinda Lail

Christine Hoagland

James Wilson Foy, Jr

Robert Charles Hoard

Wesley Keville

Maria Ervin

Heather Newell

Ashley Meadows

Sevara Ergasheva

Mukesh Maraj

Dari Ann Mckenzie

Shailesh Deshpande

David John Perro

Kenyell Javon Ollie

Steven Paul Davidson

Elizabeth Rachel Rock

Joseph Seth Cushing

Viresh Taskar

Yvette Alston

Robin J Buck

Carmen R Barnhill

Lisa Michelle Cook

Namrata Kaushik

Linda Trent

David Alan Beumer

Krishna C Yalamanchili

Ramesh Naidu Chatta

Tara Michel Ramirez

Aravind Chandramohan Kumar

Sina Bauer

Catharina Rabie

Jayshree G Patel

Salvatore Michael Certo

Sanjay Singeetham

Nivetha Raghavan

Bradley Walton

Embodiments of the invention are directed to systems, methods, and computer program products for identifying sensitive, or non-publicly available, information, reclassifying identified sensitive information, and managing access to identified sensitive information in an intelligent and dynamic manner. In some embodiments, the systems and methods described herein utilize a pattern recognition engine designed to analyze and detect identifying characteristics of sensitive data or private data characteristics. The system may also employ an automated response and reporting capability to automatically re-classify sensitive data and apply appropriate protection measures in a multi-platform approach.

System and methods for intelligent entity-wide data protection

Embodiments of the present invention provide a system for identifying occurrence of events and performing one or more actions to mitigate the impacts of the events. The system is configured for gathering data from one or more data sources of an entity, generating dataflows using the data gathered from the one or more data sources, identifying an anomaly based on one or more indicators and the dataflows, determining occurrence of an event and generating one or more propagation models associated with the event, performing event impact analysis based on the one or more propagation models, perform one or more actions to contain the event based on the one or more propagation models, identifying a last good copy of data based on the data gathered from the one or more data sources, retrieving the last good copy of data, and restoring the last good copy of data.

Consolidated data restoration framework

A metadata synchronization system is provided. The metadata synchronization system may include a plurality of metadata elements included in a plurality of applications. The plurality of applications may be coupled to a plurality of application hubs. The plurality of application hubs may be coupled to a federated metadata repository. The plurality of application hubs may be coupled to a governed metadata repository. The system may include crawling the plurality of applications, the plurality of application hubs, the federated metadata repository and the governed metadata repository to ensure that the metadata elements are synchronized across all of the components. In the event that a metadata element is not synchronized across any one of the components, the system may notify interested parties and/or resolve the discrepancy.

Metadata synchronization system

Embodiments of the present invention provide a holistic and secure resource provisioning gateway system. In particular, a managing system receives resources from disparate sources like production environments. The resources are divided into multiple resource blocks and each resource block is transmitted to individual servers of a resource gateway network along with packaged code that is configured to cause the individual servers to identify sensitive resource elements and sanitize the sensitive resource elements. A request for a provisioned set of sanitized resources meeting certain application testing requirements is then received, and the set of sanitized resources are generated based on the requirements and transmitted to a testing environment.

Holistic and secure resource provisioning gateway system

Resources for data lineage discovery, data lineage analysis, role-based security, notification. The resources may include or involve machine readable memory that is configured to store a technical data element ('TDE'); a receiver that is configured to receive a query for data lineage information corresponding to a business element identifier; and a processor configured to: register a logical association between the business element identifier and the TDE; and formulate the data lineage information of the TDE associated with the business element identifier. The receiver may be configured to receive a criterion that is required to access one or more technical data elements ('TDEs') associated with the business element identifier. The receiver may be configured to receive an election to receive a notification of a change of data lineage. The processor may be configured to toggle between a first data lineage graph and a second data lineage graph.

Data discovery and analysis tools

Data lineage transformation analysis

Growing community of inventors

Richardson, TX, United States of America

Michelle Andrea Boston