PATENT CLAIM ANALYSIS

Application Number: 16103144
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["726", "025000"]

Abstract:
Application security analysis including systems and methods for analyzing applications for risk is provided. In an example method, the applications reside on a mobile device configurable to access an enterprise system. The example method includes evaluating each of a plurality of applications variously for privacy, data leakage, and malicious behavior. The example method also includes calculating a risk score for each of the plurality of applications based on the evaluating; and automatically remediating (e.g., quarantining) the applications, of the plurality of applications, for which the risk score meets or exceeds a risk score threshold. The method may evaluate all of the applications residing on a mobile device. The method may include grouping application behaviors, for each of the applications, that indicate an increased risk into groups comprising two or more of privacy risk, a data leakage risk, an account takeover risk, a device takeover risk, and a malware risk.

Claim (Index 9):
The method of  claim 8 , wherein the calculating the score for each of the plurality of applications further comprises determining if the respective application encrypts data transmitted to the network resources.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 96.0
- Lexical Diversity: 2.20779
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14918535', '15934951', '14929067', '15819607', '14331151']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3243267247966403
- 35 USC 102 Novelty (BERT): 0.4916857925400824
- Combined Prediction Score: 0.3410626315709845
- Mean Citation Score: 223.984754
- Max Citation Score: 282.65265
- Similarity Product: 265.6352488269746

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