Abstract: This disclosure generally relates to computer-implemented analytics, and more particularly to systems and methods for improved security and precision in executing analytics using SDKs. In one embodiment, an analytics system is disclosed, comprising: a processor; and a memory device operatively connected to the processor and storing processor-executable instructions for: receiving an application programming interface (API) call for a service; parsing the API call to extract an API call name and one or more API call parameters; generating prediction values for one or more interpreted-data parameters; obtaining one or more analytics rules; performing an analytics operation to generate an analytics result according to the one or more analytics rules based on the generated prediction values for the one or more interpreted-data parameters and the extracted one or more API call parameters; and generating a visual representation of the analytics result.

Abstract: This disclosure generally relates to application development platforms, and more particularly to systems and methods for log generation and log obfuscation using software development kits (SDKs). In one embodiment, an application logging configuration method is disclosed, comprising: obtaining, for an application, a developer-specific log generation schema specifying at least a developer-specific set of variables to be logged and associated code line numbers; obtaining a developer-independent log generation schema specifying at least a developer-independent set of variables to be logged and associated code line numbers; extracting the specifications of the developer-specific and developer-independent sets of variables to be logged and associated code line numbers; generating an application logging schema specifying at least a combination of the developer-specific and developer-independent sets of variables to be logged and associated code line numbers; and storing the application logging schema.

Abstract: This disclosure generally relates to computer security, and more particularly to methods and systems for application programming interface (API)-level intrusion detection. In some embodiments, a computer-readable medium is disclosed, storing instructions for: receiving an API call for a service at an API sandbox module; parsing the API call to extract at least one of: an API call name; and or one or more API call parameters; generating a copy of the at least one of: the API call name and or the one or more API call parameters; determining, via an intrusion detection rules execution engine, whether the API call violates one or more security rules obtained from a security rules object, using the copy of the at least one of: the API call name and or the one or more API call parameters; and providing an indication of whether the API call violates the one or more security rules.

Abstract: This disclosure generally relates to computer-implemented analytics, and more particularly to systems and methods for improved security and precision in executing analytics using SDKs. In one embodiment, an analytics system is disclosed, comprising: a processor; and a memory device operatively connected to the processor and storing processor-executable instructions for: receiving an application programming interface (API) call for a service; parsing the API call to extract an API call name and one or more API call parameters; generating prediction values for one or more interpreted-data parameters; obtaining one or more analytics rules; performing an analytics operation to generate an analytics result according to the one or more analytics rules based on the generated prediction values for the one or more interpreted-data parameters and the extracted one or more API call parameters; and generating a visual representation of the analytics result.

Abstract: This disclosure generally relates to application development platforms, and more particularly to systems and methods for log generation and log obfuscation using software development kits (SDKs). In one embodiment, an application logging configuration method is disclosed, comprising: obtaining, for an application, a developer-specific log generation schema specifying at least a developer-specific set of variables to be logged and associated code line numbers; obtaining a developer-independent log generation schema specifying at least a developer-independent set of variables to be logged and associated code line numbers; extracting the specifications of the developer-specific and developer-independent sets of variables to be logged and associated code line numbers; generating an application logging schema specifying at least a combination of the developer-specific and developer-independent sets of variables to be logged and associated code line numbers; and storing the application logging schema.

Abstract: This disclosure generally relates to computer security, and more particularly to methods and systems for application programming interface (API)-level intrusion detection. In some embodiments, a computer-readable medium is disclosed, storing instructions for: receiving an API call for a service at an API sandbox module; parsing the API call to extract at least one of: an API call name; and or one or more API call parameters; generating a copy of the at least one of: the API call name and or the one or more API call parameters; determining, via an intrusion detection rules execution engine, whether the API call violates one or more security rules obtained from a security rules object, using the copy of the at least one of: the API call name and or the one or more API call parameters; and providing an indication of whether the API call violates the one or more security rules.