Patent Document ID: 9819807
Application ID: 15345972
Patent Flag: 1

Claim One:
1. A method for detecting and intercepting at least one of fraud, security breach, intrusion or misuse of a network, comprising: monitoring at least one of a plurality of simultaneous live data flows that are in active transmission between a first endpoint and a second endpoint in the network prior to storage of data within the live data flows in a database; executing a customer use-case algorithm using user-supplied run parameters, related historical data, and static data as input, wherein the customer use-case algorithm is executed as a series of dependent ordered steps using the input to render a set of outcomes that provide known, unlabeled data, wherein the known, unlabeled data is used to at least: a) determine a statistical accuracy of results of the customer use-case algorithm; or b) provide customer analyst label outcomes; providing known data with labeled responses using the customer analyst label outcomes; determining whether a learned classification algorithm exists based on the known data with labeled responses; if a learned classification algorithm exists, executing a machine-learned algorithm against the known, unlabeled data for validation to calculate the statistical accuracy of results of the customer use-case algorithm; if a learned classification algorithm does not exist, the machine learned algorithm builds a classification model using the labeled responses as a trading data set; comparing the accuracy and speed of the machine learned algorithm against the statistical accuracy of the customer use-case algorithm to detect deduced conditions that indicate occurrence of the at least one of fraud, security breach, intrusion or misuse of the network; and taking an interceptive action with respect to the live data flows responsive to the detected deduced conditions to control an operation of the network.