PATENT CLAIM ANALYSIS

Application Number: 16179216
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["726", "001000"]

Abstract:
A system and method for classifying security rules of a plurality of different security products into a security decision engine in a service. The method comprises receiving at least one security rule from at least one attack database of a security product of the plurality of different security products; normalizing each of the at least one security rule; generating a vector for each of the least one normalized security rule, wherein each vector is generated based on a set of terms indicative of a cyber-solution; mapping each of the generated vector to a security service, wherein the security service represents a cyber-solution category, wherein the mapping is performed using a classification model; and associating each of the respective security rule with the security service, when an evaluation threshold is met.

Claim (Index 1):
A method for generating a security rule classification model, comprising:\n receiving at least one security rule from at least one attack database of a first security product of a plurality of different security products; normalizing each of the at least one security rule; generating a vector for each of the least one normalized security rule; classifying each generated vector using a classification sub-model to generate preliminary classification model, wherein the classification sub-model is provided from previous classification of security rules for a security product different than the first security product; and determining a score for the preliminary classification model; and validating the preliminary classification model as the security rule classification model, when the score is over a predefined threshold.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.22222
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15182827', '14562541', '14615020', '15245458', '15337120']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2723064303088096
- 35 USC 102 Novelty (BERT): 0.5122078875974918
- Combined Prediction Score: 0.2962965760376778
- Mean Citation Score: 214.61672200000004
- Max Citation Score: 297.9770200000001
- Similarity Product: 206.58970844301

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

Dataset: test