CAPTURING AND CATEGORIZING NETWORK TRAFFIC DATA FROM API PAYLOADS FOR COMPREHENSIVE RISK SCANNING
개요
발명자
Josue Negron; Rakshat Puri
IPC 분류
CPC 분류
Methods, systems, and non-transitory computer readable storage media are disclosed for capturing, analyzing, and classifying network traffic data associated with a network communication between computing systems. For example, the disclosed systems execute operations to generate classifications of the content of the network traffic data utilizing a classification model. For example, the disclosed systems determine risk levels based on whether network traffic data transmitted within the transport layer of the network traffic data adheres to the requirements of the data policy. In certain aspects, the disclosed systems analyze captured network traffic data based a live network transmissions, logged network transmissions, an API specification, and/or API endpoints. In some aspects, the disclosed systems provide a classification analysis including risk levels associated with the network traffic data via a custom graphical user interface.
원문 (중국어)
Methods, systems, and non-transitory computer readable storage media are disclosed for capturing, analyzing, and classifying network traffic data associated with a network communication between computing systems. For example, the disclosed systems execute operations to generate classifications of the content of the network traffic data utilizing a classification model. For example, the disclosed systems determine risk levels based on whether network traffic data transmitted within the transport layer of the network traffic data adheres to the requirements of the data policy. In certain aspects, the disclosed systems analyze captured network traffic data based a live network transmissions, logged network transmissions, an API specification, and/or API endpoints. In some aspects, the disclosed systems provide a classification analysis including risk levels associated with the network traffic data via a custom graphical user interface.