The insider security threat causes new and dangerous dimensions in cloud computing. Those internal threats are originated from contractors or the business partners' input that have access to the systems. A study of trustworthiness and transparency might assist the organizations to monitor employees' activity more cautiously on cloud technologies and to sufficiently address these problems to protect their respective information technologies. Security measures are fulfilled through the effective adaptation of cloud computing that are primed to reduce their risks of data theft, fines, and privacy. The specific problem of interest was to explain that the relationship between the employees' behaviors and data security in the context of cloud computing adoption since it is not currently well understood. The purpose of this quantitative non-experimental study was to investigate the relationship between trustworthiness, transparency and security in the organizations that use cloud computing. Three variables were measured in this study: trustworthiness and transparency (independent variables) and security (dependent variable). The two independent variables of trustworthiness and transparency were measured using the Rawlins' instrument (Rawlins, 2008). The security was the outcome of the relationship between trustworthiness and transparency and was measured using the 2007 Edelman Trust Barometer. The purpose of this quantitative non-experimental correlational research was to construct a model to measure the relationship between the three variables specific to cloud computing: Trustworthiness, transparency and security. An online survey instruments from prior researches were used in this research. A total of 236 potential participants attempted to take the survey, in which 145 responses were complete. The research participants were members of a professional networking group on LinkedIn. This research approach was non-experimental correlational and quantitative. Pearson's correlation and multiple regression analyses were used to examine the relationship among the variables trustworthiness, transparency and security. The outcome presented that with a high multiple linear regression coefficient of 0.646 at p < 0.002. Accordingly, about 64.6 percent of the variation in the value of data security can be attributed to the impact of transparency. This result was statistically substantial. In accordance with the outcomes, the trustworthiness and transparency significantly predicted security (trustworthiness: B = -0.387, beta = -0.492, t = -2.106, p p < 0.37; Transparency: B = 0.646, beta = 0.200, t = -3.228, p p < 0.002) (Table 5). The regression model of trustworthiness, transparency and security = 114.858 + (-0.387) + 0.646 (trustworthiness and transparency). The findings of this research proposed that the trustworthiness and transparency played an important role regarding the data security in the cloud computing environments. The suggestion for the future researcher is to accomplish researches in specific organizations that use cloud computing to explore more on the relationship between the variables (trustworthiness and transparency), the corporate cultures, and its influence on the data security. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]