PATENT CLAIM ANALYSIS

Application Number: 15970874
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["713", "164000"]

Abstract:
The present disclosure relates to systems and methods for information security, specifically for automatically detecting theft of personal data. In one implementation, a computer-implemented method for automatically detecting theft of personal data on the Internet may include at least one processor configured to execute instructions, the instructions including receiving from a user, an electronic communication containing a first search term, extracting via pattern recognition one or more patterns corresponding with the first search term, and comparing the one or more patterns with a subset of data scraped from the Internet, with the subset of data scraped from the Internet being indexed by pattern for the first search term. The instructions may also include flagging matches of the one or more patterns with the subset of data based on the comparison and transmitting information associated with the matches in a report that indicates a possible theft of personal data.

Claim (Index 4):
The computer-implemented method of  claim 1 , wherein the instructions further comprise obtaining one or more DNS records related to at least one source; and wherein the generated report is further based on the one or more DNS records.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 93.0
- Lexical Diversity: 2.10667
- Patent Class: 713.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15073933', '13128026', '14207418', '14838877', '11858145']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3843927318313953
- 35 USC 102 Novelty (BERT): 0.4854375985632414
- Combined Prediction Score: 0.3944972185045799
- Mean Citation Score: 134.192004
- Max Citation Score: 144.34933
- Similarity Product: 93.54686675917624

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