Abstract: The technology described herein relates to systems, methods, and computer storage media, among other things, for generating recommendations corresponding to whether requests (e.g., transmitted by computing devices) are malicious network traffic. For example, the recommendations can be generated using various historical and current network traffic trends (e.g., associated with a particular application programming interface). As another example, the recommendations can be generated based on particular models. Based on the generated recommendation, dynamic rate limiting rules can be applied for determining whether a request is malicious network traffic. Based on determining the request is malicious network traffic, the request (and additional requests associated with that particular request) can be blocked.

Abstract: Systems, methods, and computer program products are provided for facilitating high frequency processing using stored models. A method for facilitating high frequency processing using stored models is provided. The method includes receiving a set of code relating to a machine learning model configured to process data. The method also includes generating a model executable file from the set of code relating to the machine learning model. The model executable file is configured to process inputted data using the machine learning model upon execution. The method still further includes storing the model executable file on an in-memory of a local device used to process inputted data.

Abstract: Techniques for mitigating the transitive data problem using a secure asset manager are provided. These techniques include generating a secure asset manager compliant application by tagging source code for the application with a data tag to indicate that a data element associated with the source code is a sensitive data element, accessing a policy file comprising transitive rules associated with the sensitive data element, and generating one or more object files for the application from the source code. These techniques also include storing a sensitive data element in a secure memory region managed by a secure asset manager, and managing the sensitive data element according to a policy associated with the sensitive data element by an application from which the sensitive data element originates, the policy defining transitive rules associated with the sensitive data element.

Abstract: Techniques for mitigating the transitive data problem using a secure asset manager are provided. These techniques include generating a secure asset manager compliant application by tagging source code for the application with a data tag to indicate that a data element associated with the source code is a sensitive data element, accessing a policy file comprising transitive rules associated with the sensitive data element, and generating one or more object files for the application from the source code. These techniques also include storing a sensitive data element in a secure memory region managed by a secure asset manager, and managing the sensitive data element according to a policy associated with the sensitive data element by an application from which the sensitive data element originates, the policy defining transitive rules associated with the sensitive data element.

Abstract: Techniques for mitigating the transitive data problem using a secure asset manager are provided. These techniques include generating a secure asset manager compliant application by tagging source code for the application with a data tag to indicate that a data element associated with the source code is a sensitive data element, accessing a policy file comprising transitive rules associated with the sensitive data element, and generating one or more object files for the application from the source code. These techniques also include storing a sensitive data element in a secure memory region managed by a secure asset manager, and managing the sensitive data element according to a policy associated with the sensitive data element by an application from which the sensitive data element originates, the policy defining transitive rules associated with the sensitive data element.