PATENT CLAIM ANALYSIS

Application Number: 16390352
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["726", "025000"]

Abstract:
A method for assessing effectiveness of one or more cybersecurity technologies in a computer network includes testing each of two or more component stages of an attack model at a first computer network element twice. A first one of the tests is conducted with a first one of the cybersecurity technologies operable to protect the first computer network element, and a second one of the tests is conducted with the first cybersecurity technology not operable to protect the first computer network element. For each one of the twice-tested component stages, comparing results from the first test and the second test, wherein the comparison yields or leads to information helpful in assessing effectiveness of the first cybersecurity technology on each respective one of the twice-tested component stages at the computer network element.

Claim (Index 18):
The tangible, non-transitory computer-readable medium of  claim 18 , wherein analyzing the first computer network element includes:\n varying one or more settings across the tests according to the hypotheses; determining one or more correlations between the one or more varied settings and the one or more evaluated qualities; and generate one or more predictions about the one or more evaluated qualities based on the one or more correlations.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 100.0
- Lexical Diversity: 2.44643
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15286990', '15362936', '15466833', '16195322', '14044793']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2843315944743745
- 35 USC 102 Novelty (BERT): 0.5608801214260257
- Combined Prediction Score: 0.3119864471695396
- Mean Citation Score: 252.621406
- Max Citation Score: 492.1235
- Similarity Product: 312.99918816053867

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

Dataset: test