PATENT CLAIM ANALYSIS

Application Number: 16182469
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
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 18):
The method of  claim 1 , wherein the shared model state enables the batch event processing engine to use knowledge gained by the real-time event processing engine to discover a security-related issue in the historic event data that is undetectable by the batch event processing engine without the knowledge.

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: ['14929141', '15415747', '14929224', '14841634', '15616889']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3480073286158008
- 35 USC 102 Novelty (BERT): 0.5767140470782428
- Combined Prediction Score: 0.370878000462045
- Mean Citation Score: 436.105346
- Max Citation Score: 453.80728
- Similarity Product: 442.7187228886748

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