Artificial intelligence and machine learning have revolutionized cybersecurity by enhancing detection and responding functions. This paper outlines the likelihood of cybersecurity detection from the response and covers topics such as the employment of AI and ML in SIEM, SOAR, and cloud-based SOC. In light of this paper simulating real case scenarios, the author assesses how such technologies may affect the believability of compliance and security. All the results are provided with the help of numerous graphs with lines highlighting the major values and trends. Additionally, this report presents the challenges experienced in adopting AI and ML in cybersecurity and the solutions available to address them. The conclusion highlights the potential of using artificial intelligence and machine learning in developing cybersecurity and creating the highest levels of protection against current threats.