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 8):
The method of  claim 1 , wherein the interaction with a datastore includes specifying, in a query or a command to be executed by the datastore, a manner in which resulting data from the datastore is to be delivered, and\n wherein the manner includes specifying an order of a set of the resulting data, wherein the order specifies that log files with device information are to be delivered first, followed by log files that associate user data with devices, followed by other files.

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): 0.3572387347113879
- 35 USC 102 Novelty (BERT): 0.5559812904292416
- Combined Prediction Score: 0.3771129902831733
- Mean Citation Score: 436.105346
- Max Citation Score: 453.80728
- Similarity Product: 292.1668163335896

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