As cyber risks get smarter and the number of rules and laws grows, companies are under a lot of pressure to improve their cybersecurity control and make sure they follow all the strict rules. Combining artificial intelligence (AI) with these issues has become a potential way to improve safety measures and make compliance procedures easier. This essay gives an in-depth look at AI-enhanced cybersecurity control and compliance, looking at its importance, difficulties, and possible effects. The paper gives some background on cybersecurity control and compliance and talks about how cyber dangers are getting worse and how complicated regulations are for businesses. It shows how important AI is for changing the way hacking is done and making compliance management more efficient. The parts that follow go into more detail about the basic ideas of cybersecurity control and legal compliance, showing why they are important and what problems they usually cause. This prepares us for a more in-depth look at how AI can be used to improve cybersecurity control, covering areas like threat discovery, vulnerability management, incident response, and compliance tracking. The paper also explains how AI can be used to make regulatory compliance easier by automating tasks, allowing tracking in real time, and using prediction analytics to look at compliance risks ahead of time. It shows how AI can be used successfully in hacking control and compliance management through case studies and examples. Ethical and legal issues related to using AI in hacking are also talked about, with a focus on the need to protect data privacy, make algorithms fair, and follow rules set by regulators. Lastly, the paper talks about the problems and possible solutions for using AI to improve safety control and compliance. It finds important technical, organizational, and new trends that need to be looked at. Overall, this study tells us a lot about how AI could change the way privacy is handled and rules are followed in a world that is becoming more and more digital.