Sybase, Inc.

Entanglement, Inc.

Rajesh Chawla

Jason Turner

Steve Olson

Richard T Hennig

Haibo Wang

John Lister

Systems and methods are described for automated threat detection. For example, the system receives various types of unlabeled data and determines, through an unsupervised machine learning model, a label for the data. The labels are provided to a supervised machine learning model during a first training process. When new data is received, the supervised machine learning model is executed during an inference process to cluster the new data in accordance with the labels that were determined by the unsupervised machine learning model. In some examples, a label audit process may be implemented to update the cluster/output of the supervised machine learning model. The updated labels from the label audit process may be provided back to the supervised machine learning model during a second training process. In other words, the system may combine the unsupervised machine learning model with a supervised machine learning model to perform automated threat detection.

Retraining supervised learning through unsupervised modeling

A system with methodology for performing relational operations over relational data and data retrieved from Simple Object Access Protocol (SOAP) operations is described. In one embodiment, a method of the present invention is described for performing database operations on data obtained from a web service, the method comprises steps of: creating at least one proxy table in a database, each proxy table mapping to a method of the web service; in response to a database operation on a particular proxy table, converting the database operation into a format for invoking a particular method of the web service based upon the corresponding mapping; invoking the particular method of the web service; converting results obtained from invoking the particular method into data for use at the database based upon the corresponding mapping; and performing the database operation on the data at the database.

System with methodology for executing relational operations over relational data and data retrieved from SOAP operations

Growing community of inventors

Arvada, CO, United States of America

Rajesh Chawla