Abstract
The rapid digitalization of enterprises has significantly expanded the threat landscape, making traditional cybersecurity approaches insufficient to counter increasingly sophisticated attacks. This research proposes a comprehensive framework for AI-enabled threat monitoring, risk governance, and audit preparedness to strengthen enterprise cybersecurity. The study examines how artificial intelligence can enhance real-time detection, predictive analytics, and automated incident response, while aligning with governance, risk, and compliance (GRC) requirements. By integrating AI-driven monitoring tools with structured risk governance practices, organizations can achieve proactive defense mechanisms, reduce operational vulnerabilities, and ensure regulatory compliance. Additionally, the framework emphasizes the role of audit preparedness in maintaining transparency, accountability, and resilience across enterprise systems. Case studies and comparative analysis of existing models highlight t