C3.ai, Inc.

C3 Iot, Inc.

Kuenley Chiu

Henrik Ohlsson

Nikhil Krishnan

Jeremy Zico Kolter

Thomas M Siebel

Edward Y Abbo

Houman Behzadi

Zico Kolter

Louis Poirier

Avid Boustani

The disclosed technology can acquire a first set of data from a first group of data sources including a plurality of network components within an energy delivery network. A first metric indicating a likelihood that a particular network component, from the plurality of network components, is affected by cyber vulnerabilities can be generated based on the first set of data. A second set of data can be acquired from a second group of data sources including a collection of services associated with the energy delivery network. A second metric indicating a calculated impact on at least a portion of the energy delivery network when the cyber vulnerabilities affect the particular network component can be generated based on the second set of data. A third metric indicating an overall level of cybersecurity risk associated with the particular network component can be generated based on the first metric and the second metric.

Systems and methods for providing cybersecurity analysis based on operational techniques and information technologies

Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to select a set of signals relating toa plurality of energy usage conditions. Signal values for the set of signals can be determined. Machine learning can be applied to the signal values to identify energy usage conditions associated with non-technical loss.

Systems and methods for utilizing machine learning to identify non-technical loss

Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to select a set of signals relating to a plurality of energy usage conditions. Signal values for the set of signals can be determined. Machine learning can be applied to the signal values to identify energy usage conditions associated with non-technical loss.

Systems and methods for providing cybersecurity analysis based on operational technologies and information technologies

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San Francisco, CA, United States of America

Kuenley Chiu