PATENT CLAIM ANALYSIS

Application Number: 16041637
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
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 23):
The method of  claim 1 , further comprising creating an event window signature by building an array comprised of computed scores from the event sequence prediction model for each event feature set corresponding to each event in the suspicious series of events.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 95.0
- Lexical Diversity: 1.58667
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14929132', '14929204', '14929042', '15490849', '14929141']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3117588095623994
- 35 USC 102 Novelty (BERT): 0.5983693563903455
- Combined Prediction Score: 0.340419864245194
- Mean Citation Score: 439.56265
- Max Citation Score: 549.7358
- Similarity Product: 447.5410437406779

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