Abstract: The present disclosure relates to traffic monitoring through one or more access control servers configured for (i) routing server resource request messages to resource server(s), (ii) extracting information identifying a target server resource from data packets corresponding to one or more received server resource request messages, and (iii) selectively transmitting the received server resource request message to a resource server. The security server(s) is configured to receive a server resource request message data extracted from a server resource request message and initiate a first security response, wherein the initiated first security response is dependent on analysis of the server resource request message data.

Abstract: In some embodiments, a method includes receiving, at a processor of a server, a first application programming interface (API) call from a client device and providing an indication associated with the first API call as an input to a machine learning model such that the machine learning model identifies a set of parameters associated with a set of likely subsequent API calls. The method can further include receiving a second API call from the client device, identifying the second API call as an anomalous API call based on the second API call not meeting the set of parameters associated with the set of likely subsequent API calls, and sending a signal to perform a remedial action based on the identifying.

Abstract: The present disclosure relates to traffic monitoring through one or more access control servers configured for (i) routing server resource request messages to resource server(s), (ii) extracting information identifying a target server resource from data packets corresponding to one or more received server resource request messages, and (iii) selectively transmitting the received server resource request message to a resource server. The security server(s) is configured to receive a server resource request message data extracted from a server resource request message and initiate a first security response, wherein the initiated first security response is dependent on analysis of the server resource request message data.

Abstract: The present disclosure relates to traffic monitoring through one or more access control servers configured configured for (i) routing server resource request messages to resource server(s), (ii) extracting information identifying a target server resource from data packets corresponding to one or more received server resource request messages, and (iii) selectively transmitting the received server resource request message to a resource server. The security server(s) is configured to receive a server resource request message data extracted from a server resource request message and initiate a first security response, wherein the initiated first security response is dependent on analysis of the server resource request message data.

Abstract: In some embodiments, a method includes receiving, at a processor of a server, a first application programming interface (API) call from a client device and providing an indication associated with the first API call as an input to a machine learning model such that the machine learning model identifies a set of parameters associated with a set of likely subsequent API calls. The method can further include receiving a second API call from the client device, identifying the second API call as an anomalous API call based on the second API call not meeting the set of parameters associated with the set of likely subsequent API calls, and sending a signal to perform a remedial action based on the identifying.

Abstract: In some embodiments, a method includes receiving, at a processor of a server, a first application programming interface (API) call from a client device and providing an indication associated with the first API call as an input to a machine learning model such that the machine learning model identifies a set of parameters associated with a set of likely subsequent API calls. The method can further include receiving a second API call from the client device, identifying the second API call as an anomalous API call based on the second API call not meeting the set of parameters associated with the set of likely subsequent API calls, and sending a signal to perform a remedial action based on the identifying.

Abstract: In some embodiments, a method includes receiving, at a processor of a server, a first application programming interface (API) call from a client device and providing an indication associated with the first API call as an input to a machine learning model such that the machine learning model identifies a set of parameters associated with a set of likely subsequent API calls. The method can further include receiving a second API call from the client device, identifying the second API call as an anomalous API call based on the second API call not meeting the set of parameters associated with the set of likely subsequent API calls, and sending a signal to perform a remedial action based on the identifying.

Abstract: The present disclosure relates to traffic monitoring through one or more access control servers configured configured for (i) routing server resource request messages to resource server(s), (ii) extracting information identifying a target server resource from data packets corresponding to one or more received server resource request messages, and (iii) selectively transmitting the received server resource request message to a resource server. The security server(s) is configured to receive a server resource request message data extracted from a server resource request message and initiate a first security response, wherein the initiated first security response is dependent on analysis of the server resource request message data.

Abstract: In some embodiments, a method includes receiving, at a processor of a server, a first application programming interface (API) call from a client device and providing an indication associated with the first API call as an input to a machine learning model such that the machine learning model identifies a set of parameters associated with a set of likely subsequent API calls. The method can further include receiving a second API call from the client device, identifying the second API call as an anomalous API call based on the second API call not meeting the set of parameters associated with the set of likely subsequent API calls, and sending a signal to perform a remedial action based on the identifying.

Abstract: In some embodiments, a method includes receiving, at a processor of a server, a first application programming interface (API) call from a client device and providing an indication associated with the first API call as an input to a machine learning model such that the machine learning model identifies a set of parameters associated with a set of likely subsequent API calls. The method can further include receiving a second API call from the client device, identifying the second API call as an anomalous API call based on the second API call not meeting the set of parameters associated with the set of likely subsequent API calls, and sending a signal to perform a remedial action based on the identifying.