PATENT CLAIM ANALYSIS

Application Number: 16357593
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["726", "023000"]

Abstract:
Systems and methods include: receiving digital event type data that define attributes of a digital event type; receiving digital fraud policy that defines a plurality of digital processing protocols; transmitting via a network the digital event data and the digital fraud policy to a remote digital fraud mitigation platform; using the digital event data to configure a first computing node comprising an events data application program interface or an events data computing server to detect digital events that classify as the digital event type; using digital fraud policy to configure a second computing node comprising a decisioning API or a decisioning computing server to automatically evaluate and automatically select one digital event processing outcome of a plurality of digital event processing outcomes that indicates a disposal of the digital events classified as the digital event type; and implementing a digital threat mitigation application process flow that evaluates digital event data.

Claim (Index 2):
A machine learning-based method for mitigating digital fraud and digital abuse, the method comprising:\n a digital fraud detection and mitigation platform, the digital fraud detection and mitigation platform comprising one or more computing servers that comprise one or more computer processors and memory storing computer-executable instructions that when executed by the one or more computer processors perform the steps of:\n (i) receiving, via a network and from a remote interface, triggering digital event data and/or digital actor data that describes an actor involved with the triggering digital event data, wherein the triggering digital event data comprises digital event metadata describing attributes of a digital event occurring over or involving a use of the Internet or web; \n (ii) in response to receiving the triggering digital event data, instantiating a digital threat mitigation application flow, the digital threat mitigation application flow comprising a plurality of digital event computing servers that operate to process the triggering digital event data and/or the digital actor data in a predetermined order, wherein instantiating the digital threat mitigation application flow includes:\n receiving the triggering digital event data and/or the digital actor data at an automated decisioning computing server of the plurality of digital event computing servers, wherein the automated decisioning computing server comprises a plurality of ordered sub-servers, wherein each of the plurality of sub-servers comprise differentiated digital event evaluation criteria, wherein each of the plurality of sub-servers operates to evaluate the triggering digital event data and/or the digital actor data using the differentiated digital event evaluation criteria; \n evaluating the triggering digital event data and/or the digital actor data at a first sub-server of the plurality of ordered sub-servers at the automated decisioning computing server, wherein: \n if the triggering digital event data and/or the digital actor data satisfies the differentiated digital event evaluation criteria at the first sub-server, causing the triggering digital event data and/or the digital actor data to traverse the sub-server to a first disposal decision corresponding to the first sub-server; or \n if the triggering digital event data and/or the digital actor data does not satisfy the differentiated digital event evaluation criteria at the first sub-server, transmitting the triggering digital event data and/or the digital actor data to a second sub-server of the plurality of ordered sub-servers at the automated decisioning computing server, determining a second disposal decision at the second sub-server.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 99.0
- Lexical Diversity: 2.45312
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15922746', '15653354', '15957761', '15653373', '16138311']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3054097140765697
- 35 USC 102 Novelty (BERT): 0.5426897425966773
- Combined Prediction Score: 0.3291377169285805
- Mean Citation Score: 316.2744160000001
- Max Citation Score: 399.15424
- Similarity Product: 340.3608645329666

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test