PATENT CLAIM ANALYSIS

Application Number: 15860049
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
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 5):
The method of  claim 1 , further comprising:\n repeating said adding step for event data representing each of a plurality of events to enable, via the access interface, a uniform way to access information about the plurality of events.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 86.0
- Lexical Diversity: 1.58667
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14928918', '14929203', '15418546', '14928985', '15800010']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3112642448327335
- 35 USC 102 Novelty (BERT): 0.5618186135298968
- Combined Prediction Score: 0.3363196817024499
- Mean Citation Score: 406.55545200000006
- Max Citation Score: 449.79556
- Similarity Product: 353.11968753900527

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