Abstract: Vulnerability scanning systems and methods are provided for automatically performing the steps necessary for compliance testing and auditing of an organization's systems, and determining security posture in real time. A Machine-in-the-Middle Microserviced Security Engine (MiMMSE) is provided that provides one-way traffic for command execution and security improvement, management for automating services in OS containers, the elimination of multiple connections to services per client to give users more control of network access, total data destruction after each run to reduce attack surfaces, encryption over container services, reverse tunnel or VPN traffic between pods, clusters, and other separated networks, and machine learning (e.g., neural-network-based) maps for command execution order.

Abstract: Vulnerability scanning systems and methods are provided for automatically performing the steps necessary for compliance testing and auditing of an organization's systems, and determining security posture in real time. A Machine-in-the-Middle Microserviced Security Engine (MiMMSE) is provided that provides one-way traffic for command execution and security improvement, management for automating services in OS containers, the elimination of multiple connections to services per client to give users more control of network access, total data destruction after each run to reduce attack surfaces, encryption over container services, reverse tunnel or VPN traffic between pods, clusters, and other separated networks, and machine learning (e.g., neural-network-based) maps for command execution order.

Abstract: Vulnerability scanning systems and methods are provided for automatically performing the steps necessary for compliance testing and auditing of an organization's systems, and determining security posture in real time. A Machine-in-the-Middle Microserviced Security Engine (MiMMSE) is provided that provides one-way traffic for command execution and security improvement, management for automating services in OS containers, the elimination of multiple connections to services per client to give users more control of network access, total data destruction after each run to reduce attack surfaces, encryption over container services, reverse tunnel or VPN traffic between pods, clusters, and other separated networks, and machine learning (e.g., neural-network-based) maps for command execution order.