Vol. 6, Issue 1, Part C (2024)

The digital economy's exponential growth has ushered in unparalleled opportunities for businesses and individuals globally, but it has also brought about increasingly sophisticated cybersecurity threats. Traditional cybersecurity approaches, reliant on static rule-based systems and signature-based detection methods, struggle to keep pace with the evolving nature of these threats. Consequently, there has been a growing reliance on artificial intelligence (AI) and machine learning (ML) technologies to bolster cybersecurity defenses. This study provides a comprehensive overview of the pivotal role played by AI and ML in enhancing cybersecurity in the digital economy. AI and ML technologies are being leveraged across various cybersecurity domains, including threat detection, prevention, and response. Machine learning algorithms analyze vast amounts of data to identify patterns and anomalies indicative of cyber threats, enabling predictive analytics and proactive threat mitigation. AI-powered threat intelligence platforms aggregate and analyze threat data from diverse sources, providing organizations with actionable insights to strengthen their defenses. Additionally, AI-driven automation streamlines incident response processes, facilitating rapid threat containment and remediation. The future of cybersecurity in the digital economy is intrinsically linked to the continued evolution of AI and ML technologies. Advancements in explainable AI and collaborative efforts between stakeholders will be crucial in addressing existing challenges and enhancing the robustness of defense mechanisms. With continued innovation and collaboration, AI and ML will continue to play a pivotal role in safeguarding the digital economy against cyber threats now and in the future.