PATENT CLAIM ANALYSIS

Application Number: 16215350
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
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 60):
The computer system of  claim 54 , wherein the kill chain view includes the duration of at least one stage of the kill chain for the selected threat and the dates that the stage began and concluded.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 98.0
- Lexical Diversity: 1.58667
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14928451', '14928563', '14928421', '14929037', '14928471']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.374079150769969
- 35 USC 102 Novelty (BERT): 0.5889485551071347
- Combined Prediction Score: 0.3955660912036856
- Mean Citation Score: 454.06806
- Max Citation Score: 531.7837
- Similarity Product: 360.1537586037158

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