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US Patent 11537502 Dynamic system for active detection and mitigation of anomalies in program code construction interfaces

Patent 11537502 was granted and assigned to Bank of America on December, 2022 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
115375020
Patent Inventor Names
Richa Soni0
Kadekoppa Kiran Rohithakshappa0
Amit Mishra0
Krithika Viswanathan0
Silpa Edappilly Santhosh0
Date of Patent
December 27, 2022
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Patent Application Number
175310510
Date Filed
November 19, 2021
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Patent Citations
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US Patent 10673880 Anomaly detection to identify security threats
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US Patent 10311368 Analytic system for graphical interpretability of and improvement of machine learning models
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US Patent 10642723 System for metamorphic relationship based code testing using mutant generators
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US Patent 11132279 Robotic process automation enabled file dissection for error diagnosis and correction
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US Patent 11202198 Managed database of recipient addresses for fast 5G message delivery
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Patent Citations Received
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US Patent 11983102 Electronic system for machine learning based anomaly detection in program code
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US Patent 11777888 User request response method and apparatus, computer-readable storage medium, and device
Patent Primary Examiner
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Wei Y. Zhen
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CPC Code
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G06F 11/3664
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G06N 20/00
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G06F 9/44526
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G06F 8/75
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G06F 8/30
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G06F 11/3624
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G06F 11/3688
0

Embodiments of the invention are directed to active detection and mitigation of anomalies in program code construction interfaces. The system provides a proactive plug-in with a dynamic machine learning (ML) anomaly detection model cloud component structured to dynamically detect architectural flaws in program code in real-time in a user coding interface. In particular, the system activates a machine learning (ML) anomaly detection plug-in for dynamically analyzing the first technology program code being constructed in the user coding interface. Moreover, the system modifies, via the ML anomaly detection plug-in, the user coding interface to embed interface elements associated with the one or more flaws in the first technology program code detected by the ML anomaly detection model cloud component.

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