As systems continue to evolve due to complex mission needs, the inherent vulnerabilities are growing exponentially.  This drives the need to identify and detect system vulnerabilities early on.  Modeling & simulation have become a staple in the systems engineering process; and model-based engineering (MBE) has become a focal point within system architecture.  Hence, it is critical to consider combining the two related activities in the context of cyber-security beginning from the design phase and carry on through the lifecycle of the program.  For many Department of Defense (DoD) programs, System Modeling Language (SysML) is used to generate system architecture artifacts.   We believe cyber aspects need to be considered early in the systems engineering process so security features are “baked in” starting from the requirements definition, rather than “bolted on” later in the deployment phase due to cost constraints at the beginning of the program.  Our Lockheed Martin team has demonstrated that successful use of cyber MBE efforts can be a cost avoidance opportunity.  Our approach ties traditional MBE methodology to cyber operations analysis.  Through automation and machine learning, optimum cyber solutions are identified and integrated to the rest of the system appropriately to ensure all performance requirements are met.  Ultimately, this will enhance the overall cyber system resiliency.