PATENT CLAIM ANALYSIS

Application Number: 16406991
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["726", "001000"]

Abstract:
A resource security system may generate access rules for use in determining whether to grant or deny a request for access to a resource. In order to generate the access rules, the resource security system may select certain access request parameters and determine conditions associated with those parameters. The resource security system may generate mutually exclusive segments associated with a condition of each of the parameters. The resource security system may generate independent access rules based on the segments. The resource security system may then evaluate the performance of each of the access rules based on validity information corresponding to previously received access requests that satisfy the conditions of a particular access rule.

Claim (Index 5):
The method of  claim 1 , further comprising:\n determining, for each of the potential access rules, a set of previous access requests of the plurality of previous access requests having access request parameters that involve the conditions of the potential access rule; and determining, for each of the sets of previous access requests, the validity information corresponding to each of the previous access requests in the set of previous access requests, wherein the determining of the predictive percentage for each of the potential access rules is based on the validity information corresponding to each of the previous access requests in the set of previous access requests.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.125
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15365389', '15352491', '15812334', '16134875', '15133134']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2715425495325197
- 35 USC 102 Novelty (BERT): 0.5243150128329995
- Combined Prediction Score: 0.2968197958625677
- Mean Citation Score: 293.04097
- Max Citation Score: 354.63904
- Similarity Product: 301.5477416660309

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

Dataset: test