Code analysis for privacy and risk assessment using a trained machine-learning model
AssigneeDevron Corporation
InventorsSameer WAGH, Kartik CHOPRA, Sidhartha ROY
Life of this patent
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AssigneeDevron Corporation
InventorsSameer WAGH, Kartik CHOPRA, Sidhartha ROY
Estimating the term…
Systems and methods for code analysis are provided. A system receives, from a first data owner system, an input indicating one or more privacy constraints, wherein the one or more privacy constraints indicate one or more rules for operating on a sensitive data set in a data store associated with the first data owner system. The system receives data comprising code configured to operate on the sensitive data set. The system apples a first set of one or more machine-learning-trained models to process the first input and the data comprising the code to generate code analysis output data, wherein the code analysis output data comprises an indication of whether the code satisfies the one or more privacy constraints. The system generates and transmits, based on the code analysis output data, an instruction indicating whether to execute the code to operate on the sensitive data.
A system for code analysis, the system comprising one or more processors configured to:
A non-transitory computer-readable storage medium storing instructions for code analysis, the instructions configured to be executed by one or more processors of a system to cause the system to:
A method for code analysis, the method configured to be performed by a system comprising one or more processors, the method comprising:
Dependencies are inferred from the claim text.