IP Library › Granted Patent US 12,495,060
Granted Patent B2
US 12,495,060 · App. 18/117,889 · Granted Dec 9, 2025

System and method for assessing entity security using aggregated data sources

Inventors: Pradheepa Raghunaathan Nanduri (Charlotte, NC); Sedonami Oluwadamilola Agosa (Brooklyn, NY); Daniel James Doherty (Huntersville, NC); Zachary David Fay (Charlotte, NC); Andrew Braden McNab (Charlotte, NC); Katalina Lucia Mendoza (Charlotte, NC); Margaret Lee Miniati (Charlotte, NC); Andrew Franklin Schultz (New York, NY); Amy Marie Williams (Charlotte, NC)
Assignee: BANK OF AMERICA CORPORATION
H04L63/1433G06N20/00G06Q10/06375
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Quick Facts
Patent No.
US 12,495,060
App. No.
18/117,889
Granted
Dec 9, 2025
Kind
B2
Abstract

Systems, computer program products, and methods are described herein for assessing entity strategic impact using aggregated data sources. The method includes receiving at least one strategic impact indicator from each of at least two strategic impact data sources. The at least one strategic impact indicator relates to an entity strategic impact of an entity. The method also includes determining, via a machine learning model, a strategic impact confidence level for the entity. The strategic impact confidence level indicates a likelihood of an emerging strategic impact relating to the entity. The method further includes generating a strategic impact assessment report. The strategic impact assessment report indicates at least the strategic impact confidence level for the entity. The strategic impact assessment report also includes a strategic impact alert in an instance in which the strategic impact confidence level is below a threshold strategic impact level.

Claims (34)

1 . A system for assessing entity strategic impact using aggregated data sources, the system comprising:

at least one non-transitory storage device; and

at least one processing device coupled to the at least one non-transitory storage device, wherein the at least one processing device is configured to:

receive at least one strategic impact indicator from each of at least two strategic impact data sources, wherein the at least one strategic impact indicator relates to an entity strategic impact of an entity, wherein the at least two strategic impact data sources comprise at least one of entity office memos, entity board memo, regulatory feeds, newsletters, program execution dashboards, and consumer responses;

assign a weight for the at least one strategic impact indicator received from each of the at least two strategic impact data sources, wherein the weight is based on strategic source reliability, type of information in the at least one strategic impact indicator, and relevance of the at least one strategic impact indicator to the entity;

determine, via a machine learning model, a strategic impact confidence level for the entity, via a weighted algorithm, based at least on the weight of the at least one strategic impact, wherein the strategic impact confidence level indicates a likelihood of an emerging strategic impact relating to the entity; and

generate a strategic impact assessment report, wherein the strategic impact assessment report indicates at least the strategic impact confidence level for the entity, and wherein the strategic impact assessment report comprises a strategic impact alert in an instance in which the strategic impact confidence level is below a threshold strategic impact level.

2 . The system of claim 1 , wherein the at least one processing device is configured to cause a transmission of the strategic impact assessment report to one or more devices associated with the entity.

3 . The system of claim 1 , wherein the strategic impact assessment report comprises at least one of the at least one strategic impact indicator used to determine the strategic impact confidence level.

4 . The system of claim 1 , wherein the at least one processing device is configured to determine a strategic impact action based on the strategic impact confidence level of the entity, wherein the strategic impact action is based on a comparison of the strategic impact confidence level to the threshold strategic impact level.

5 . The system of claim 1 , wherein the at least one processing device is configured to update the strategic impact confidence level based on one or more additional strategic impact indicator, wherein the additional strategic impact indicator relates to the entity.

6 . The system of claim 1 , wherein the at least one processing device is configured to train the machine learning model based on one or more known strategic impact assessment reports.

7 . The system of claim 1 , wherein the at least one processing device is configured to update the machine learning model based on one or more known strategic impact assessment reports.

8 . A computer program product for assessing entity strategic impact using aggregated data sources, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising:

an executable portion configured to receive at least one strategic impact indicator from each of at least two strategic impact data sources, wherein the at least one strategic impact indicator relates to an entity strategic impact of an entity, wherein the at least two strategic impact data sources comprise at least one of entity office memos, entity board memo, regulatory feeds, newsletters, program execution dashboards, and consumer responses;

an executable portion configured to assign a weight for the at least one strategic impact indicator received from each of the at least two strategic impact data sources, wherein the weight is based on strategic source reliability, type of information in the at least one strategic impact indicator, and relevance of the at least one strategic impact indicator to the entity;

an executable portion configured to determine, via a machine learning model, a strategic impact confidence level for the entity, via a weighted algorithm, based at least on the weight of the at least one strategic impact, wherein the strategic impact confidence level indicates a likelihood of an emerging strategic impact relating to the entity; and

an executable portion configured to generate a strategic impact assessment report, wherein the strategic impact assessment report indicates at least the strategic impact confidence level for the entity, and wherein the strategic impact assessment report comprises a strategic impact alert in an instance in which the strategic impact confidence level is below a threshold strategic impact level.

9 . The computer program product of claim 8 , wherein the computer program product further comprises an executable portion configured to cause a transmission of the strategic impact assessment report to one or more devices associated with the entity.

10 . The computer program product of claim 8 , wherein the strategic impact assessment report comprises at least one of the at least one strategic impact indicator used to determine the strategic impact confidence level.

11 . The computer program product of claim 8 , wherein the computer program product further comprises an executable portion configured to determine a strategic impact action based on the strategic impact confidence level of the entity, wherein the strategic impact action is based on a comparison of the strategic impact confidence level to the threshold strategic impact level.

12 . The computer program product of claim 8 , wherein the computer program product further comprises an executable portion configured to update the strategic impact confidence level based on one or more additional strategic impact indicator, wherein the additional strategic impact indicator relates to the entity.

13 . The computer program product of claim 8 , wherein the computer program product further comprises an executable portion configured to train the machine learning model based on one or more known strategic impact assessment reports.

14 . The computer program product of claim 8 , wherein the computer program product further comprises an executable portion configured to update the machine learning model based on one or more known strategic impact assessment reports.

15 . A computer-implemented method for assessing entity strategic impact using aggregated data sources, the method comprising:

receiving at least one strategic impact indicator from each of at least two strategic impact data sources, wherein the at least one strategic impact indicator relates to an entity strategic impact of an entity, wherein the at least two strategic impact data sources comprise at least one of entity office memos, entity board memo, regulatory feeds, newsletters, program execution dashboards, and consumer responses;

assigning a weight for the at least one strategic impact indicator received from each of the at least two strategic impact data sources, wherein the weight is based on strategic source reliability, type of information in the at least one strategic impact indicator, and relevance of the at least one strategic impact indicator to the entity;

determining, via a machine learning model, a strategic impact confidence level for the entity, via a weighted algorithm, based at least on the weight of the at least one strategic impact, wherein the strategic impact confidence level indicates a likelihood of an emerging strategic impact relating to the entity; and

generating a strategic impact assessment report, wherein the strategic impact assessment report indicates at least the strategic impact confidence level for the entity, and wherein the strategic impact assessment report comprises a strategic impact alert in an instance in which the strategic impact confidence level is below a threshold strategic impact level.

16 . The method of claim 15 , further comprising causing a transmission of the strategic impact assessment report to one or more devices associated with the entity.

17 . The method of claim 15 , further comprising determining a strategic impact action based on the strategic impact confidence level of the entity, wherein the strategic impact action is based on a comparison of the strategic impact confidence level to the threshold strategic impact level.

18 . The method of claim 15 , further comprising updating the strategic impact confidence level based on one or more additional strategic impact indicator, wherein the additional strategic impact indicator relates to the entity.

19 . The method of claim 15 , further comprising training the machine learning model based on one or more known strategic impact assessment reports.

20 . The method of claim 15 , further comprising updating the machine learning model based on one or more known strategic impact assessment reports.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 6, 2023
From: NANDURI, PRADHEEPA RAGHUNAATHAN; AGOSA, SEDONAMI OLUWADAMILOLA; DOHERTY, DANIEL JAMES; FAY, ZACHARY DAVID; MCNAB, ANDREW BRADEN; MENDOZA, KATALINA LUCIA; MINIATI, MARGARET LEE; SCHULTZ, ANDREW FRANKLIN; WILLIAMS, AMY MARIE
To: BANK OF AMERICA CORPORATION
Reel/Frame 062961/0074 →
Continuity (1)
Related Publication 20240305658A1 · Sep 12, 2024
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