Current security testing approaches like DAST, SAST, and IAST have limitations including a lack of complete visibility into applications and missing valuable information that could improve accuracy. While early hybrid approaches used correlation between techniques, correlation does not overcome fundamental analyzer deficiencies. A more effective solution would use an accurate application model as the foundation, providing a wealth of information about the application that could drastically improve analysis and vulnerability detection capabilities.