Compliance management for emerging risks

Patent metadata

Field	Value
Publication number	US-2023306342-A1
Application number	US-202318204115-A
Country	US
Kind code	A1
Filing date	May 31, 2023
Priority date	Aug 9, 2019
Publication date	Sep 28, 2023
Grant date	—

Abstract

Disclosed herein are system, method, and computer program product embodiments for identifying and managing emerging risks. Businesses, such as those participating in regulated industries, may need to regularly monitor enforcement actions that are cited in a variety of sources. Embodiments disclosed herein provide for scraping information from those sources and comparing it to existing risk events in order to determine possible discrepancies that should be assessed.

First claim

What is claimed is:

1 . A computer implemented method, comprising:
connecting, by one or more computing devices, a scraping interface to a social media platform; scraping, by the scraping interface, social media data from the social media platform, wherein the scraping extracts complaints information located within the social media data; applying, by the one or more computing devices, a regular expression search to the complaints information in order to identify risk information within the complaints information; classifying, by the one or more computing devices, the risk information using phrase-based scoring on the contents of the risk information, wherein the classification for the risk information is associated with first citation data conforming to a regular form for regulatory citations; comparing, by the one or more computing devices, the first citation data against a second citation data of a risk information document to determine a correspondence between the classification for the risk information and the classification for the risk information document; storing, by the one or more computing devices, the risk information in association with the risk information document, based on a match between the first citation data and the second citation data; and presenting, in an interface and by the one or more computing devices, an arrangement of a plurality of discrepancies on the interface according to a risk level, wherein the plurality of discrepancies includes a discrepancy based on the association of the risk information with the risk information document.

2 . The computer implemented method of claim 1 , wherein the social media platform comprises a database of a plurality of complaints.

3 . The computer implemented method of claim 1 , wherein the social media platform comprises complaints made directly to a business operating process flow.

4 . The computer implemented method of claim 1 , further comprising:
selecting, by the one or more computing devices, a line of business from a plurality of lines of business corresponding to the classification for the risk information document; and notifying, by the one or more computing devices, the line of business of the association of the risk information with the risk information document.

5 . The computer implemented method of claim 1 , wherein the classifying the risk information using phrase-based scoring comprises:
determining, by the one or more computing devices, the classification of the risk information by performing the phrase-based scoring against a plurality of risk information documents selected from a plurality of classifications.

6 . The computer implemented method of claim 1 , further comprises prioritizing a risk level for each discrepancy.

7 . The computer implemented method of claim 1 , further comprises additional classification of the discrepancies.

8 . A system, comprising:
a memory configured to store operations; and one or more processors configured to perform the operations, the operations comprising: connecting a scraping interface to a social media platform; scraping, by the scraping interface, social media data from the social media platform, wherein the scraping extracts complaints information located within the social media data; applying a regular expression search to the complaints information in order to identify risk information within the complaints information; classifying the risk information using phrase-based scoring on the contents of the risk information, wherein the classification for the risk information is associated with first citation data conforming to a regular form for regulatory citations; comparing the first citation data against a second citation data of a risk information document to determine a correspondence between the classification for the risk information and the classification for the risk information document; storing the risk information in association with the risk information document, based on a match between the first citation data and the second citation data; and presenting, in an interface, an arrangement of a plurality of discrepancies on the interface according to a risk level, wherein the plurality of discrepancies includes a discrepancy based on the association of the risk information with the risk information document.

9 . The system of claim 8 , wherein the social media platform comprises a database of a plurality of complaints.

10 . The system of claim 8 , the operations further comprising:
selecting a line of business from a plurality of lines of business corresponding to the classification for the risk information document; and notifying the line of business of the association of the risk information with the risk information document.

11 . The system of claim 8 , wherein classifying the risk information using phrase-based scoring comprises:
determining the classification of the risk information by performing the phrase-based scoring against a plurality of risk information documents selected from a plurality of classifications.

12 . The system of claim 8 , wherein the classifying the risk information using phrase-based scoring further comprises:
determining a classification of the social media information by performing the phrase-based scoring against a plurality of risk information documents selected from a plurality of classifications.

13 . The system of claim 8 , the operations further comprising:
prioritizing a risk level for each discrepancy.

14 . The system of claim 8 , the operations further comprising:
additional classification of the discrepancies.

15 . A computer readable storage device having instructions stored thereon, execution of which, by one or more processing devices, causes the one or more processing devices to perform operations comprising:
scraping, by the scraping interface, social media data from the social media platform, wherein the scraping extracts complaints information located within the social media data; applying a regular expression search to the complaints information in order to identify risk information within the complaints information; classifying the risk information using phrase-based scoring on the contents of the risk information, wherein the classification for the risk information is associated with first citation data conforming to a regular form for regulatory citations; comparing the first citation data against a second citation data of a risk information document to determine a correspondence between the classification for the risk information and the classification for the risk information document; storing the risk information in association with the risk information document, based on a match between the first citation data and the second citation data; and presenting, in an interface, an arrangement of a plurality of discrepancies on the interface according to a risk level, wherein the plurality of discrepancies includes a discrepancy based on the association of the risk information with the risk information document.

16 . The computer readable storage device of claim 15 , the operations further comprising:
selecting a line of business from a plurality of lines of business corresponding to the classification for the risk information document; and notifying the line of business of the association of the social media platform with the risk information document.

17 . The computer readable storage device of claim 15 , wherein the phrase-based scoring further comprises:
phrase-based scoring against a plurality of risk informatio

Assignees

• Capital One Services Llc

Inventors

• Kumar Lokesh Vijay
• Chikkaveerappa Satish
• Unnikrishnan Sasi Kumar
• Parcha Venkata Satya
• Subramanian Ponnazhakan
• Chowdhury Rhic
• Mangal Nimish
• Parker Ryan M
• Adair Jacob
• Demchalk Chris
• Aggarwal Lavika
• Sinha Nishant

Classifications

• G06Q10/0635 Primary

  Risk analysis of enterprise or organisation activities · CPC title

• G06Q30/01

  Customer relationship services · CPC title

• G06Q30/0282

  Rating or review of business operators or products · CPC title

• G06F21/6209

  to a single file or object, e.g. in a secure envelope, encrypted and accessed using a key, or with access control rules appended to the object itself · CPC title

• G06F40/30

  Semantic analysis · CPC title