Bank of America Corporation

Michael S Karafotis

Manu Jacob Kurian

Paul Roscoe

Jo-Ann Taylor

Saritha Vrittamani

Crystal M Sundaramoorthy

Timothy Lamonte Atwell

Srinivasa D Madireddi

Timothy J Bendel

Joseph C Corbett

Kyle Scott Sorensen

Conor Mitchell Liam Nodzak

Michelle Andrea Boston

Wyatt Edward Maxey

Sandip Kumar

Candace R Gordon

Brian C Busch

Fernando A Maisonett

Shreyas Srinivas

Angela Dawn Roose

Mary Kathleen Riley

Nikhil Ram

Constance Jones Suarez

Laurie Readhead

Linda Trent

Jamie Gilchrist

Sina Bauer

Sachin Varule

David Alan Beumer

Jason Kenneth Bellew

Prasad V Annadata

Musa Ajakaiye

Christopher Emmanuel Huntley

Dnyanesh P Ballikar

Benjamin Judson Gaines, Iii

Jesse Antonio Hernandez

Noel Mary Fuller

Terri Dorinda Lail

James Wilson Foy, Jr

Christine Hoagland

Robert Charles Hoard

Maria Ervin

Wesley Keville

Heather Newell

Sevara Ergasheva

Ashley Meadows

Mukesh Maraj

Shailesh Deshpande

Dari Ann Mckenzie

David John Perro

Steven Paul Davidson

Kenyell Javon Ollie

Joseph Seth Cushing

Elizabeth Rachel Rock

Viresh Taskar

Lisa Michelle Cook

Carmen R Barnhill

Namrata Kaushik

Ravindra Bandaru

Lisa Julia Brown

Ramesh Naidu Chatta

Tara Michel Ramirez

Salvatore Michael Certo

Jayshree G Patel

Christie M Weekley

Sanjay Singeetham

Nivetha Raghavan

Bradley Walton

Robin J Buck

Yvette Alston

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 system that includes a tagging engine and a routing engine. The tagging engine is configured to link a data element with an access control tag. The tagging engine is configured to apply context rules to the access control tag array based on the content of the data element to change the access control tag value for one or more of the access control tags. The tagging engine sends the data element with the access control tag array to a target network node within an end user group. The routing engine is configured to identify an access control tag value in the access control tag array corresponding with the end user group and to forward the data element to the target network node in response to determining that the access control value is greater than or equal to the access control level associated with the end user group.

Access control value systems

Apparatus and methods for electronically evaluating the criticality of a weakness in a process. The apparatus and methods may compile and store data related to business priorities and business operations. Subsequent calculations quantifying the impact of a process step failure may incorporate the stored business process data to arrive at a quantified measure of the relative criticality of a failure in the context of the process as a whole.

Operational failure mitigation

Growing community of inventors

Allen, VA, United States of America

Michael S Karafotis