The principles of science play a large and important role in the functionality and understanding of cybersecurity as they aid in recognizing, assessing, and managing the ever-changing risks and vulnerabilities in the digital world. Two essential principle of science that contributes to cybersecurity is data analysis and pattern recognition. It is a critical component of both science and cybersecurity as it enables cybersecurity professionals to evaluate massive datasets using statistical methods and machine learning algorithms in order to spot suspicious behaviors, detect trends, and construct prediction models for cyber risks. Another principle that is applied in cybersecurity is evidence-based decision-making. Science relies on concrete and validating evidence to create hypotheses, evaluations, and life-changing findings due to the reliability of the information. In cybersecurity, decisions about security policies, risk assessments, and incident response strategies should be based on data and analysis rather than assumptions or guesswork.