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US Patent 11522697 Insight generation using personal identifiable information (PII) footprint modeling

Patent 11522697 was granted and assigned to Bank of America on December, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Bank of America
Bank of America
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Current Assignee
Bank of America
Bank of America
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
115226970
Patent Inventor Names
Thomas G. Frost0
Charlene L. Ramsue0
Scott Nielsen0
Youshika C. Scott0
Allison Zimmer0
Brian H. Corr0
Date of Patent
December 6, 2022
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Patent Application Number
172325170
Date Filed
April 16, 2021
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Patent Citations
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US Patent 10592693 System and method for analyzing cooperative synthetic identities
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US Patent 10776519 Information presentation management
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US Patent 10803160 Method to verify and identify blockchain with user question data
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US Patent 10803196 On-demand de-identification of data in computer storage systems
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US Patent 10819710 Systems and methods for privacy-protecting hybrid cloud and premise stream processing
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US Patent 10839104 Obfuscating information related to personally identifiable information (PII)
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US Patent 10855634 Operating a match cooperative without handling personally identifiable information
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US Patent 10891621 Systems and methods of providing security in an electronic network
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...
Patent Citations Received
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US Patent 12013963 Insight generation using personal identifiable information (PII) footprint modeling
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US Patent 11888986 Insight generation using personal identifiable information (PII) footprint modeling
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Patent Primary Examiner
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Amare F Tabor
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CPC Code
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H04L 9/32
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G06N 20/00
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H04L 63/0428
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Aspects of the disclosure relate to information masking. A computing platform may receive, from a user computing device, a request to access information that includes personal identifiable information (PII). The computing platform may retrieve source data comprising the PII and mask, within the source data and based on a data management policy, the PII. The computing platform may send the masked information in response to the request to access the information. The computing platform may receive a request to unmask the masked information and unmask the PII. The computing platform may log the request to unmask the masked information in an unmasking event log and send the unmasked PII in response to the request to unmask the masked information. The computing platform may apply a machine learning model to the unmasking event log to identify malicious events and trigger remediation actions based on identification of the malicious events.

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