Abstract: A system and method of Application Programming Interface (API) anomaly by a processor may include receiving a target API request; inferring a machine-learning based language model on the target API request, to generate a target API vector, representing an embedding of a text of the target API request in a textual embedding space; obtaining a nearest neighbor model, comprising a plurality of baseline API vectors, each representing embedding of text of a respective baseline API request in the textual embedding space; searching the nearest neighbor model, based on the target API vector, to select one or more baseline API vectors; calculating a similarity metric value, representing similarity of the target API request to the one or more baseline API requests, based on the target API vector and the selected one or more baseline API vectors; and determining anomaly of the target API request, based on the similarity metric value.

Abstract: A system and method of providing Application Programming Interface (API) security may include receiving an API documentation data element, describing one or more types of API requests; parsing the API documentation data element, to create one or more first schemes, each comprising one or more definitions for utilization of a corresponding API request type; receiving an API request to access a computing device on a protected computer network; associating a scheme of the one or more first schemes to the received API request, based on a type of the received API request; and filtering the received API request based on the associated first scheme.

Abstract: Disclosed are methods and devices for wireless transmission of content using Wi-Fi infrastructure to multiple user-devices devices that does not require maintaining a Wi-Fi session with each user-device.