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Study Of Artificial Intelligence In Cyber Security And The Emerging Threat Of Ai Driven Cyber The research paper performs a literature review and examines the overall impacts of artificial intelligence on cybersecurity. We identify critical areas where ai may greatly enhance threat detection, incident response, and overall system resilience through a thorough literature study and case studies of businesses that have effectively deployed ai driven solutions. While ai's impact has been predominantly in reactive cybersecurity measures, new ai technologies are promising for proactive security efforts, including advanced threat intelligence, security risk management, and heightened security awareness. Ai investments must advance the theory and practice of secure ai enabled system construction and deployment. considerable efforts in managing ai are needed to produce secure training; defend models from adversarial inputs and reconnaissance; and verify model robustness, fairness, and privacy. Demonstrated the market readiness and the practical implications of ai vulnerabilities. the findings categorised organisations into two distinct groups: those unaware of ai's use and consequent. Ai investments must advance the theory and practice of secure ai enabled system construction and deployment. considerable efforts in managing ai are needed to produce secure training; defend models from adversarial inputs and reconnaissance; and verify model robustness, fairness, and privacy.
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