As the US Navy and US Marine Corps move toward integrating existing flight simulators into common training environments, the importance of having a correlated, correct environmental representation is vital for achieving a fair fight and a high training value to the warfighter. Many of these simulators are operating off different versions of source data and using different image generator (IG) vendors, which can result in interoperability problems. Although correlation between visual terrain databases and simulation terrain databases have been investigated in the past, there is a lack of research on correlation between large synthetic environments using runtime visual and sensor databases in Navy and Marine Corps flight simulators. Many current practices involve manual inspection and limited area of interest (AOI) testing to determine correlation, resulting in ineffective correlation assessments, which may cause negative training. In an effort to address this gap, preliminary research has been conducted to develop a tool that can perform automated correlation and integrity assessments on runtime formats, including visual and sensor databases, using standard interfaces such as the Common IG Interface (CIGI) within a distributed simulation environment. Utilizing these standard interfaces along with standard data formats, such as the U.S. Navy Naval Air Systems Command (NAVAIR) Portable Source Initiative (NPSI), the research framework facilitates tests to identify integrity and correlation conditions that may negatively affect training. The details of the investigation, its outcomes, and future research are reported.