Abstract: A system and method for securing a computing environment using graphing of computing interfaces. A method includes traversing a network configuration graph with respect to a first component deployed in a computing environment. Traversing the network configuration graph results in a connections between components in the computing environment represented by nodes including at least one connection to a first node representing the first component. The nodes include at least one computing interface node and at least one other node. Each computing interface node represents a computing interface of computing interfaces deployed in the computing environment. The method also includes determining, based on the connections, a configuration of the first component with respect to service or consumption of at least one of the computing interfaces. The method also includes detecting a misconfiguration of the first component based on the determined configuration of the first component.

Abstract: Systems and methods for resolving dependencies of computing interfaces. An example method includes identifying at least one example value with respect to a specification of a first computing interface, wherein each of the at least one example value is a value included in a respective request to the first computing interface; and linking the first computing interface to at least one second computing interface based on the identified at least one example value.

Abstract: A system and method for securing a computing environment using graphing of computing interfaces. A method includes traversing a network configuration graph with respect to a first component deployed in a computing environment. Traversing the network configuration graph results in a connections between components in the computing environment represented by nodes including at least one connection to a first node representing the first component. The nodes include at least one computing interface node and at least one other node. Each computing interface node represents a computing interface of computing interfaces deployed in the computing environment. The method also includes determining, based on the connections, a configuration of the first component with respect to service or consumption of at least one of the computing interfaces. The method also includes detecting a misconfiguration of the first component based on the determined configuration of the first component.

Abstract: A system and method for securing a computing environment using graphing of computing interfaces. A method includes traversing a network configuration graph with respect to a first component deployed in a computing environment. Traversing the network configuration graph results in a connections between components in the computing environment represented by nodes including at least one connection to a first node representing the first component. The nodes include at least one computing interface node and at least one other node. Each computing interface node represents a computing interface of computing interfaces deployed in the computing environment. The method also includes determining, based on the connections, a configuration of the first component with respect to service or consumption of at least one of the computing interfaces. The method also includes detecting a misconfiguration of the first component based on the determined configuration of the first component.

Abstract: Systems and methods for resolving dependencies of computing interfaces. An example method includes identifying at least one example value with respect to a specification of a first computing interface, wherein each of the at least one example value is a value included in a respective request to the first computing interface; and linking the first computing interface to at least one second computing interface based on the identified at least one example value.

Abstract: Systems and methods for active parameter identification. An example method includes applying a machine learning model to features extracted from each of at least one request to a computing interface, wherein the machine learning model is trained per value using a training set including a plurality of training values of a plurality of training requests, wherein the machine learning model is trained to output an indicator as to whether each portion of a request containing a respective value indicates a parameter when applied to the request; and identifying at least one parameter-indicating portion of each request to the computing interface based on outputs of the machine learning model.