Abstract: In certain embodiments, three or more sensors may be installed on a core banking system to detect anomalous behavior. Each of the sensors may be configured to detect removal or corruption of any of the other sensors at a periodic interval and to repair or reinstall any of the other sensors that has been corrupted or removed so that the combination of the sensors makes the group of sensors unremovable. A sensor may be configured to detect anomalous behavior by applying an anomaly detection model developed using live data collected by the sensor. In certain embodiments, a new anomaly detection model may be developed and trained to recognize potentially anomalous events; tested; and used to generate a live score to indicate the likelihood that a detected event is an anomaly. A model may be used for scoring in as little as 6 hours after initial receipt of live data.

Abstract: Disclosed herein is a computer architecture and software that is configured to modify handling of predictive models by an asset-monitoring system based on a location of an asset. In accordance with example embodiments, the asset-monitoring system may maintain data indicative of a location of interest that represents a location in which operating data from assets should be disregarded. The asset-monitoring system may determine whether an asset is within the location of interest. If so, the asset-monitoring system may disregard operating data for the asset when handling a predictive model related to the operation of the asset.

Abstract: Disclosed herein is a computer architecture and software that is configured to modify handling of predictive models by an asset-monitoring system based on a location of an asset. In accordance with example embodiments, the asset-monitoring system may maintain data indicative of a location of interest that represents a location in which operating data from assets should be disregarded. The asset-monitoring system may determine whether an asset is within the location of interest. If so, the asset-monitoring system may disregard operating data for the asset when handling a predictive model related to the operation of the asset.

Abstract: Disclosed herein is a computer architecture and software that is configured to modify handling of predictive models by an asset-monitoring system based on a location of an asset. In accordance with example embodiments, the asset-monitoring system may maintain data indicative of a location of interest that represents a location in which operating data from assets should be disregarded. The asset-monitoring system may determine whether an asset is within the location of interest. If so, the asset-monitoring system may disregard operating data for the asset when handling a predictive model related to the operation of the asset.