PATENT CLAIM ANALYSIS

Application Number: 16209297
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["726", "023000"]

Abstract:
Systems and methods include: collecting digital event data for the digital account; using a trained machine learning model to extract account takeover (ATO) risk features from the collected digital event data; evaluating the extracted ATO risk features of the collected digital event data of the digital account against a plurality of ATO risk heuristics; identifying one or more of the plurality of ATO risk heuristics that is triggered by the extracted ATO risk features, wherein one or more of the plurality of ATO risk heuristics may be triggered if at least a subset of the extracted ATO risk features matches requirements of the one or more ATO risk heuristics; and generating an ATO risk assessment for the digital account using the one or more triggered ATO risk heuristics.

Claim (Index 10):
The system according to  claim 1 , wherein:\n the ATO feature extractor operates to identify and extract from the collected digital activity data, at least, (1) historical time series of session features or attributes, (2) one or more internet protocol (IP) addresses of devices used to access the online account, and (3) user agent data involved in accessing the online account.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 2.40351
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15842379', '16138311', '15957761', '15653373', '15922746']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2799250767971199
- 35 USC 102 Novelty (BERT): 0.5924253745471897
- Combined Prediction Score: 0.3111751065721269
- Mean Citation Score: 315.33495
- Max Citation Score: 483.51715
- Similarity Product: 467.4659533547789

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

Dataset: test