The increasing prevalence of cyber threats in the digital age underscores the urgent need for innovative and data-driven approaches to cybersecurity. This study proposes a high-impact decision-making model designed to integrate cutting-edge cybersecurity strategies into public policy, governance, and organizational frameworks. The model emphasizes leveraging big data, artificial intelligence (AI), and advanced analytics to inform policy design, risk assessment, and strategic planning in diverse institutional contexts. Key components of the model include real-time data aggregation, predictive analytics, and machine learning algorithms to identify and mitigate cyber risks proactively. By incorporating advanced threat intelligence and risk quantification, the model enables stakeholders to prioritize vulnerabilities, allocate resources effectively, and enhance resilience against evolving cyber threats. The framework also integrates multi-stakeholder collaboration, ensuring alignment between public and private sector efforts in addressing cybersecurity challenges. This model is adaptable across various governance levels and organizational structures, providing actionable insights to policymakers, regulators, and organizational leaders. It aligns with global cybersecurity standards and emphasizes compliance with frameworks such as the NIST Cybersecurity Framework, GDPR, and ISO/IEC 27001. The research highlights the importance of embedding cybersecurity into governance processes and organizational strategies to foster a culture of security and accountability. Pilot studies demonstrate the model's applicability in enhancing decision-making processes, reducing response times, and improving risk mitigation outcomes. Case studies from public and private sectors reveal the model’s capacity to drive more informed and adaptive policy frameworks while promoting operational efficiency and trust among stakeholders. This study contributes to the evolving field of cybersecurity by providing a scalable and replicable approach for integrating data-driven strategies into policy and governance. By bridging the gap between technological innovation and institutional readiness, the proposed model equips policymakers and organizations to navigate complex cyber landscapes effectively, ensuring the protection of critical infrastructure, data, and digital assets.