PATENT CLAIM ANALYSIS

Application Number: 15951880
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["717", "101000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying network security risks. One of the methods includes receiving organizational hierarchy data and receiving access privilege data for a network, generating an adjacency matrix that represents connections between individuals within the organizational hierarchy and various groups, and that represents connections between the individuals and various access privileges, selecting an analytic technique for analyzing the adjacency matrix, determining, for each individual, an individual score that represents a security risk associated with the individual's network account, and in response to determining that the individual score meets a threshold, applying security controls.

Claim (Index 24):
The method of  claim 21 , further comprising modifying the generated adjacency matrix, wherein the modifying comprises:\n for at least one of the one or more groups or access privileges:\n replacing a star network for the group or access privilege with a mesh network between individuals associated with the group or access privilege; and \n removing the group or access privilege from the adjacency matrix.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 91.0
- Lexical Diversity: 1.87302
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15206005', '15481485', '09770729', '11791892', '13090422']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3179058820367149
- 35 USC 102 Novelty (BERT): 0.5582444108358953
- Combined Prediction Score: 0.341939734916633
- Mean Citation Score: 202.87646
- Max Citation Score: 385.68823
- Similarity Product: 335.5293363947028

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

Dataset: test