PATENT CLAIM ANALYSIS

Application Number: 15995073
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-10
Patent Classification: ["726", "023000"]

Abstract:
A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.

Claim (Index 7):
The method of  claim 1 , wherein assigning usage similarity scores comprises:\n assigning usage similarity scores to the network devices based on login events indicative of users accessing the network devices, such that a first group of network devices that have similar groups of login users have usage similarity scores that are closer in value to each other than usage similarity scores of network devices that do not have similar groups of login users.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 93.0
- Lexical Diversity: 1.58667
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14929196', '14929037', '14929183', '14928421', '15418546']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3785645081158948
- 35 USC 102 Novelty (BERT): 0.5921168694163044
- Combined Prediction Score: 0.3999197442459358
- Mean Citation Score: 435.45975800000014
- Max Citation Score: 508.20273
- Similarity Product: 470.8183984240704

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