PATENT CLAIM ANALYSIS

Application Number: 15926961
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
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 28):
The method of  claim 1 , wherein (1) each of the entities is of a type that is one of: user, device, application, network resource locator, session, or threat; and wherein at least two of the entities are not of the same type; or, wherein (2) each of the entities is of a type that is one of: user, device, application, uniform resource locator (URL), session, or threat; and wherein the activity includes at least one of: uses, visits, connects to, logs in, or logs out.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 90.0
- Lexical Diversity: 1.58667
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15418546', '14929203', '14929042', '14929182', '14929141']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3920159051703695
- 35 USC 102 Novelty (BERT): 0.5639674207214105
- Combined Prediction Score: 0.4092110567254736
- Mean Citation Score: 436.374804
- Max Citation Score: 459.1558
- Similarity Product: 389.45461917750833

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