Data governance plays a critical role in enhancing cybersecurity resilience for global enterprises. In the face of increasingly sophisticated cyber threats, coupled with rising regulatory demands such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), enterprises must implement robust data governance frameworks to safeguard data integrity, availability, and confidentiality (Ramirez et al., 2008). Effective data governance involves a combination of policies, procedures, and technologies that align with an organization’s overall cybersecurity strategy (Khatri & Brown, 2010). This paper provides a comprehensive analysis of the critical intersection between data governance and cybersecurity, emphasizing the link between governance structures, risk management processes, and technological innovations in mitigating evolving cyber threats (Weber et al., 2009). Additionally, we explore the essential role of data stewardship, stakeholder responsibilities, and the deployment of advanced technologies, such as artificial intelligence (AI) and machine learning (ML), in fostering organizational resilience (Arora & Pedersen, 2017). Through case studies and best practices, the study presents a conceptual framework that enables global enterprises to adapt to the fast-changing cybersecurity landscape while maintaining compliance with international data regulations. By addressing key elements such as access control, data classification, and real-time monitoring, this research underscores how comprehensive data governance frameworks serve as a foundation for enhanced cybersecurity resilience in today’s digital economy (Da Veiga & Eloff, 2007).
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