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List of Sift Science patents

Patents where

Current Assignee

Name

Sift Science

Name	Description	Patent Applicant	Current Assignee	Patent Jurisdiction	Patent Number	Date of Patent
‌ US Patent 11330009 Systems and methods for machine learning-based digital content clustering, digital content threat detection, and digital content threat remediation in machine learning task-oriented digital threat mitigation platform	Patent 11330009 was granted and assigned to Sift Science on May, 2022 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	11330009	May 10, 2022
‌ US Patent 9978067 System and methods for dynamic digital threat mitigation	Patent 9978067 was granted and assigned to Sift Science on May, 2018 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	9978067	May 22, 2018
‌ US Patent 9954879 System and methods for dynamic digital threat mitigation	Patent 9954879 was granted and assigned to Sift Science on April, 2018 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	9954879	April 24, 2018
‌ US Patent 10958673 Multi-factor authentication augmented workflow	Patent 10958673 was granted and assigned to Sift Science on March, 2021 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10958673	March 23, 2021
‌ US Patent 11409629 Systems and methods for optimizing a machine learning-informed automated decisioning workflow in a machine learning task-oriented digital threat mitigation platform	Patent 11409629 was granted and assigned to Sift Science on August, 2022 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	11409629	August 9, 2022
‌ US Patent 10897479 Systems and methods for machine-learning based digital threat assessment with integrated activity verification	Patent 10897479 was granted and assigned to Sift Science on January, 2021 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10897479	January 19, 2021
‌ US Patent 10341374 Systems and methods detecting and mitigating anomalous shifts in a machine learning model	Patent 10341374 was granted and assigned to Sift Science on July, 2019 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10341374	July 2, 2019
‌ US Patent 10108962 System and methods for dynamic digital threat mitigation	Patent 10108962 was granted and assigned to Sift Science on October, 2018 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10108962	October 23, 2018
‌ US Patent 11645386 Systems and methods for automated labeling of subscriber digital event data in a machine learning-based digital threat mitigation platform	Patent 11645386 was granted and assigned to Sift Science on May, 2023 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	11645386	May 9, 2023
‌ US Patent 10462172 Systems and methods detecting and mitigating anomalous shifts in a machine learning model	Patent 10462172 was granted and assigned to Sift Science on October, 2019 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10462172	October 29, 2019
‌ US Patent 10284582 System and methods for dynamic digital threat mitigation	Patent 10284582 was granted and assigned to Sift Science on May, 2019 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10284582	May 7, 2019
‌ US Patent 11528290 Systems and methods for machine learning-based digital content clustering, digital content threat detection, and digital content threat remediation in machine learning-based digital threat mitigation platform	Patent 11528290 was granted and assigned to Sift Science on December, 2022 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	11528290	December 13, 2022
‌ US Patent 11037173 Systems and methods for anomaly detection in automated workflow event decisions in a machine learning-based digital threat mitigation platform	Patent 11037173 was granted and assigned to Sift Science on June, 2021 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	11037173	June 15, 2021
‌ US Patent 11481490 Systems and methods for automated labeling of subscriber digital event data in a machine learning-based digital threat mitigation platform	Patent 11481490 was granted and assigned to Sift Science on October, 2022 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	11481490	October 25, 2022
‌ US Patent 11620653 Systems and methods for configuring and implementing a malicious account testing machine learning model in a machine learning-based digital threat mitigation platform	Patent 11620653 was granted and assigned to Sift Science on April, 2023 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	11620653	April 4, 2023
‌ US Patent 10296912 System and methods for dynamic digital threat mitigation	Patent 10296912 was granted and assigned to Sift Science on May, 2019 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10296912	May 21, 2019
‌ US Patent 11429974 Systems and methods for configuring and implementing a card testing machine learning model in a machine learning-based digital threat mitigation platform	Patent 11429974 was granted and assigned to Sift Science on August, 2022 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	11429974	August 30, 2022
‌ US Patent 10181032 System and methods for digital account threat detection	Patent 10181032 was granted and assigned to Sift Science on January, 2019 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10181032	January 15, 2019
‌ US Patent 10402828 System and methods for dynamic digital threat mitigation	Patent 10402828 was granted and assigned to Sift Science on September, 2019 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10402828	September 3, 2019
‌ US Patent 10491617 Systems and methods configuring a subscriber-specific ensemble of machine learning models	Patent 10491617 was granted and assigned to Sift Science on November, 2019 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10491617	November 26, 2019
‌ US Patent 11303665 Systems and methods configuring a unified threat machine learning model for joint content and user threat detection		Sift Science	Sift Science	United States Patent and Trademark Office	11303665	April 12, 2022
‌ US Patent 11496501 Systems and methods for an adaptive sampling of unlabeled data samples for constructing an informative training data corpus that improves a training and predictive accuracy of a machine learning model	Patent 11496501 was granted and assigned to Sift Science on November, 2022 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	11496501	November 8, 2022
‌ US Patent 10339472 Systems and methods for calibrating a machine learning model	Patent 10339472 was granted and assigned to Sift Science on July, 2019 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10339472	July 2, 2019
‌ US Patent 11049116 Systems and methods for anomaly detection in automated workflow event decisions in a machine learning-based digital threat mitigation platform	Patent 11049116 was granted and assigned to Sift Science on June, 2021 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	11049116	June 29, 2021
‌ US Patent 10997608 Systems and methods for insult rate testing and reconfiguring an automated decisioning workflow computer for improving a machine learning-based digital fraud and digital abuse mitigation platform	Patent 10997608 was granted and assigned to Sift Science on May, 2021 by the United States Patent and Trademark Office.	Sift Science	Sift Science	United States Patent and Trademark Office	10997608	May 4, 2021

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