PATENT CLAIM ANALYSIS

Application Number: 15959946
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-12
Patent Classification: ["726", "025000"]

Abstract:
A set of attributes of a particular asset of a computing environment is identified that are determined from data collected by one or more utilities in the computing environment. A criticality rating is automatically determined for the particular asset based at least in part on the set of attributes. A security activity is caused to be performed relating to the particular asset based on the automatically determined criticality rating of the particular asset.

Claim (Index 44):
A system, comprising:\n at least one memory element that stores instructions; and at least one processor device that executes the instructions to\n identify a set of attributes of an asset of a computing environment, wherein the set of attributes identifies one or more users and a context of use of the asset by the one or more users; \n determine a criticality rating value for the asset based at least in part on the one or more users and the context of use, wherein the criticality rating value indicates an impact of damage to or loss of the asset, and the criticality rating value is determined in response to an event involving the asset; \n calculate a risk measure for the asset from the criticality rating value, vulnerability detection data identifying vulnerabilities of the asset, and countermeasure detection data identifying countermeasures deployed on the asset; and \n cause a security activity to be performed based at least in part on the risk measure for the asset.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 91.0
- Lexical Diversity: 1.85366
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13718970', '13334304', '14531881', '13718200', '13334474']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2679667467441072
- 35 USC 102 Novelty (BERT): 0.516274909625242
- Combined Prediction Score: 0.2927975630322207
- Mean Citation Score: 215.213886
- Max Citation Score: 317.40833
- Similarity Product: 260.25990123023035

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

Dataset: test