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 30):
A non-transitory machine-readable storage medium for use in a processing system, the non-transitory machine-readable storage medium storing instructions, an execution of which in the processing system causes the processing system to perform operations comprising:\n implementing a batch event processing engine on a distributed data processing platform, wherein the batch event processing engine is configured to process a batch of historic event data; performing an interaction with a datastore to retrieve specific event data; scheduling the batch event processing engine to process the specific event data; and enabling the batch event processing engine to share a model state of a particular machine learning model, with a real-time event processing engine on the distributed data processing platform, the real-time event processing engine being configured to process an unbounded stream of event data, the particular machine learning model being configured to process a time slice of data for detecting a security-related issue, wherein the real-time event processing engine and the batch event processing engine each utilize the shared model state to share, with the other engine, security-related knowledge gained from processing respective data.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 98.0
- Lexical Diversity: 1.58667
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14929141', '15415747', '14929224', '14841634', '15616889']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3249649394674751
- 35 USC 102 Novelty (BERT): 0.5664651573825842
- Combined Prediction Score: 0.349114961258986
- Mean Citation Score: 436.105346
- Max Citation Score: 453.80728
- Similarity Product: 384.4745783485031

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