Abstract: Systems, computer program products, and methods are described herein for network traffic discovery and analysis. The present invention is configured to capture data traffic across network ports in a computing environment; retrieve source code from code repositories; determine that the data traffic and the source code are associated with application programming interface (API) traffic; determine a first API associated with the API traffic; determine, using a machine learning (ML) subsystem, whether the first API meets supervisory requirements; and invoke a remediation protocol in an instance when the first API does not meet supervisory requirements.

Abstract: Methods are provided to secure a mutual Transport Layer Security (TLS) verification between a client computer and a server computer, using an authorized viewer. Methods may include intercepting a file at the authorized viewer. Methods may include using a content inspection Artificial Intelligence (AI) module to inspect the data. Methods may include preventing the transmission of malicious data to a server computer.

Abstract: The present invention provides for analyzing secured network traffic to determine which devices and/or applications are accessed by authorized, and in some instances, unauthorized third-party entities. A fully automated methodology is disclosed for verification and validation of secured network accesses performed by an authorized third-party entity and the monitoring and investigation of unauthorized third-party threats/attacks on the secured network.

Abstract: The present invention provides for analyzing secured network traffic to determine which devices and/or applications are accessed by authorized, and in some instances, unauthorized third-party entities. A fully automated methodology is disclosed for verification and validation of secured network accesses performed by an authorized third-party entity and the monitoring and investigation of unauthorized third-party threats/attacks on the secured network.