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US Patent 11948157 Multi-source anomaly detection and automated dynamic resolution system

Patent 11948157 was granted and assigned to Bank of America on April, 2024 by the United States Patent and Trademark Office.

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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
119481570
Patent Inventor Names
Elijah Clark0
George Albero0
Date of Patent
April 2, 2024
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Patent Application Number
177284860
Date Filed
April 25, 2022
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Patent Citations
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US Patent 9843596 Anomaly detection in dynamically evolving data and systems
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US Patent 9990587 Machine learning heterogeneous edge device, method, and system
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US Patent 10003607 Automated detection of session-based access anomalies in a computer network through processing of session data
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US Patent 10057296 Detecting and managing abnormal data behavior
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US Patent 10146954 System and method for data aggregation and analysis
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US Patent 10177998 Augmenting flow data for improved network monitoring and management
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US Patent 10187409 Anomaly detection in dynamically evolving data and systems
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US Patent 10333953 Anomaly detection in dynamically evolving data and systems
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...
Patent Primary Examiner
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Alvin L Brown
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CPC Code
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G06N 20/00
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G06Q 30/0185
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Patent abstract

Arrangements for detecting anomalies and dynamically generating a response are presented. In some examples, attribute data including a plurality of source elements may be received. The source element data may be received from a plurality of source computing systems. The attribute data, including the source element data, may be analyzed using machine learning techniques to identify any anomalies in the attribute data. If an anomaly is detected, a notification may be generated including data associated with the anomaly, a user associated with the anomaly and the like. The notification may be transmitted to a computing device for display. In some examples, if an anomaly is detected, data associated with the anomaly may be compared to pre-stored rules to determine whether a pre-stored rule applies to the identified anomaly. If a pre-stored rule applies, an instruction or command may be generated and transmitted to one or more source computing devices or systems.

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