PATENT CLAIM ANALYSIS

Application Number: 16057450
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["726", "009000"]

Abstract:
Included are embodiments for tokenizing sensitive data. Some embodiments of systems and/or methods are configured to receive sensitive data from a vendor, determine a token key for the vendor, and utilize a proprietary algorithm, based on the token key to generate a vendor-specific token that is associated with the sensitive data. Some embodiments include creating a token identifier that comprises data related to the token key sending the vendor-specific token and the token identifier to the vendor.

Claim (Index 31):
A non-transitory computer-readable medium for tokenization of sensitive data that stores a program that when executed by a computing device, causes the computing device to perform at least the following:\n receive a request to change a token that is associated with sensitive data, wherein the token is generated based at least in part on a token key that is unique to a vendor, wherein the request is accompanied by a token identifier that is associated with the token, and wherein the token and the token identifier are linked in a database, and the token identifier is configured to provide token generation data, token version data, token key data, and a validation value: identify the token key and a version for the token from the token identifier; generate a new token for associating with the sensitive data, wherein the new token is generated utilizing a new token key for the vendor; and send the new token and the token identifier to a vendor computing device.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 1.97619
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15696626', '14563076', '13117599', '13671178', '14042325']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3322612569054342
- 35 USC 102 Novelty (BERT): 0.5362666474683441
- Combined Prediction Score: 0.3526617959617252
- Mean Citation Score: 302.275214
- Max Citation Score: 379.36627
- Similarity Product: 367.2607140896988

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

Dataset: test