Sift Science, Inc.
44Patents
44Active
44Granted
54Portfolio score
Filing activity: Jul 18, 2017 → Mar 4, 2025
Most-cited patents
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9954879B1 | System and methods for dynamic digital threat mitigation | Electricity | 115 | Active |
| US9978067B1 | System and methods for dynamic digital threat mitigation | Electricity | 33 | Active |
| US10181032B1 | System and methods for digital account threat detection | Physics | 22 | Active |
| US10958673B1 | Multi-factor authentication augmented workflow | Electricity | 16 | Active |
| US10341374B1 | Systems and methods detecting and mitigating anomalous shifts in a machine learning model | Physics | 10 | Active |
| US10462172B1 | Systems and methods detecting and mitigating anomalous shifts in a machine learning model | Physics | 8 | Active |
| US10897479B1 | Systems and methods for machine-learning based digital threat assessment with integrated activity verification | Electricity | 7 | Active |
| US11330009B2 | 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 | Electricity | 6 | Active |
| US11496501B1 | 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 | Electricity | 6 | Active |
| US10108962B1 | System and methods for dynamic digital threat mitigation | Electricity | 5 | Active |
| US10929756B1 | Systems and methods for configuring and implementing an interpretive surrogate machine learning model | Physics | 5 | Active |
| US11037173B1 | Systems and methods for anomaly detection in automated workflow event decisions in a machine learning-based digital threat mitigation platform | Electricity | 5 | Active |
| US10643216B2 | System and methods for dynamic digital threat mitigation | Electricity | 4 | Active |
| US10296912B2 | System and methods for dynamic digital threat mitigation | Electricity | 4 | Active |
| US11409629B1 | Systems and methods for optimizing a machine learning-informed automated decisioning workflow in a machine learning task-oriented digital threat mitigation platform | Physics | 3 | Active |
| US11575695B2 | Systems and methods for intelligently constructing a backbone network graph and identifying and mitigating digital threats based thereon in a machine learning task-oriented digital threat mitigation platform | Electricity | 3 | Active |
| US10402828B2 | System and methods for dynamic digital threat mitigation | Electricity | 3 | Active |
| US10666674B1 | Systems and methods configuring a subscriber-specific ensemble of machine learning models | Electricity | 2 | Active |
| US10284582B2 | System and methods for dynamic digital threat mitigation | Electricity | 2 | Active |
| US11429974B2 | Systems and methods for configuring and implementing a card testing machine learning model in a machine learning-based digital threat mitigation platform | Electricity | 2 | Active |
| US11916927B2 | Systems and methods for accelerating a disposition of digital dispute events in a machine learning-based digital threat mitigation platform | Physics | 2 | Active |
| US10491617B1 | Systems and methods configuring a subscriber-specific ensemble of machine learning models | Electricity | 2 | Active |
| US10482395B2 | System and methods for digital account threat detection | Physics | 2 | Active |
| US10339472B2 | Systems and methods for calibrating a machine learning model | Physics | 2 | Active |
| US11481490B1 | Systems and methods for automated labeling of subscriber digital event data in a machine learning-based digital threat mitigation platform | Physics | 1 | Active |
Source: USPTO / EPO open patent data. Counts and citation impact are objective bibliographic measures.