Artificial Intelligence for Cybersecurity: Analyzing Legal Frameworks and Policy Implications

Abstract

The paper deeply studies three existing security mandates like the GDPR, NIST CSF, and CCPA so it can evaluate properly how they respond to Artificial Intelligence (AI) defines issues. The research finds significant problems in regulations about AI cybersecurity especially with attacks from outside sources, biased systems, and poor clarity, which create serious ethical problems. A doctrinal and analytical research methodology was applied within this study, which combines legal text analysis and case law review to define judicial rulings along with a framework evaluation and an investigation into social-moral effects on AI cybersecurity. In addition, actual data is collected from legal practitioners, IT security specialists, and policymakers through structured interviews to present a concrete approach of practical problems and regulatory requirements in an ever-growing field of this nature. The results stress the demand for powerful, proactive laws that make security demands and technological development compatible to each other, and emphasize the need for international collaboration and preventive regulatory approach. The recommendation for comprehensive legislative framework in regulating AI in cybersecurity is the concluding part of the study, seeking to promulgate laws that would weave its way through the makeovers engineered by AI in protecting cyber space, including realizing balance, practicality, and ethical vigilance.