The research topic for this study was cybersecurity. The study investigated to what extent effort expectancy, social influence, and performance expectancy predicted the behavioral intention to adopt the National Institute of Standards and Technology Cybersecurity Framework (NIST CSF) in financial services. Cybersecurity in the financial sector is needed to address cybercrime and cyber risks, and the successful adoption of cybersecurity frameworks becomes critical. NIST CSF was recommended for global adoption and, although the acceptance factors were unknown, potential factors included individual beliefs on performance expectancy, effort expectancy, and social influence. The purpose of the quantitative nonexperimental correlational research was to apply the unified theory of acceptance and use of technology theoretical model that related the individual beliefs and the behavioral intention to adopt NIST CSF for the target population of cybersecurity professionals in the financial services. Effort expectancy (EE), social influence (SI), and performance expectancy (PE) were used as predictors to explain the behavioral intention to adopt NIST CSF as an outcome. The research questions looked at the extent to which each variable could predict the behavioral intention to adopt NIST CSF. Multiple regression correlation (MRC) analysis was used. The study showed that SI and EE were good predictors of the intention to adopt NIST CSF in the financial sector (in that order), and PE was not a good predictor. The outcome of the study contributed to a better understanding of the NIST CSF acceptance factors providing a needed insight on decision making and NIST CSF global adoption. Future research on other predictors, such as facilitating conditions, and moderating variables, such as gender and voluntary nature of adoption, would further the insight on the adoption of NIST CSF in the financial services. A longitudinal study focused on the actual use of NIST CSF may also contribute to further understanding of the framework’s adoption.