PATENT CLAIM ANALYSIS

Application Number: 16363596
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["726", "023000"]

Abstract:
A new approach is proposed that contemplates systems and methods to support email account takeover detection and remediation by utilizing an artificial intelligence (AI) engine/classifier that detects and remediates such attacks in real time. The AI engine is configured to continuously monitor and identify communication patterns of a user on an electronic messaging system of an entity via application programming interface (API) calls. The AI engine is then configured to collect and utilize a variety of features and/or signals from an email sent from an internal email account of the entity. The AI engine combines these signals to automatically detect whether the email account has been compromised by an external attacker and alert the individual user of the account and/or a system administrator accordingly in real time. The AI engine further enables the parties to remediate the effects of the compromised email account by performing one or more remediating actions.

Claim (Index 22):
The computer-implemented method of  claim 17 , further comprising:\n computing and maintaining in a database term frequency-inverse document frequency (TF-IDF) of each word offline based on a corpus of labeled malicious emails and a corpus of innocent emails to determine the likelihood of the word in the electronic message being malicious.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 99.0
- Lexical Diversity: 1.72826
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14709460', '14942851', '14185796', '12907721', '14133567']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2642648040948779
- 35 USC 102 Novelty (BERT): 0.4610875141756658
- Combined Prediction Score: 0.2839470751029567
- Mean Citation Score: 169.12446599999996
- Max Citation Score: 171.6766
- Similarity Product: 140.09725103456975

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