PATENT CLAIM ANALYSIS

Application Number: 15971946
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["726", "001000"]

Abstract:
Various embodiments of the present technology include methods of assessing risk of a cyber security failure in a computer network of an entity. Some embodiments involve using continual or periodic data collecting to improve inferential analysis, as well as obtaining circumstantial or inferential information from social networks. Machine learning may be used to improve predicitive capabilities. Some embodiments allow for identification of an entity from circumstantial or inferential information based on the machine learning and comparative analyses.

Claim (Index 10):
The method of  claim 1 , wherein the assessing of the risk of a cyber security failure in the computer network of the entity further comprises:\n assessing, using a plurality of sophistication elements for the entity, a sophistication for the entity with respect to preventing the cyber security failure, the sophistication being one of a plurality of features of the entity; and assessing, using a plurality of motivation elements regarding the entity, a motivation of an actor to initiate the cyber security failure, the motivation being another one of the plurality of features of the entity; wherein the method further comprises:\n calculating a composite score based at least in part on the assessing of the risk; \n calculating a motivation score from the composite score, the motivation score representing the plurality of motivation elements; and \n calculating a sophistication score from the composite score, the sophistication score representing the plurality of sophistication elements.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 93.0
- Lexical Diversity: 1.4386
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15371047', '15141779', '15373298', '15374212', '15099297']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4207287540962495
- 35 USC 102 Novelty (BERT): 0.6002059513232896
- Combined Prediction Score: 0.4386764738189534
- Mean Citation Score: 502.475766
- Max Citation Score: 533.9373
- Similarity Product: 493.304739499426

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