Enhancing Cyber Resilience: Convergence of SIEM, SOAR, and AI in 2024

Abstract

Purpose: The study aims to examine the synergistic effects of integrating Security Information and Event Management (SIEM), Security Orchestration, Automation, and Response (SOAR), and Artificial Intelligence (AI) technologies in enhancing cybersecurity frameworks. It explores how this combination can lead to a transformative era in cybersecurity, focusing on the improved efficacy of threat management and incident response. Methodology: An analytical approach was used to investigate the integration trends between SIEM and SOAR technologies, underpinned by advancements in AI. This method emphasizes accelerated incident detection and response, enriched threat intelligence collaboration, and fortified security strategies. Findings: The fusion of SIEM, SOAR, and AI technologies has led to a paradigm shift in cybersecurity, offering unparalleled efficiency in threat management and a significant reduction in the impacts of cyber incidents on entities. It highlights the accelerated detection and response to incidents and the enhancement of threat intelligence collaboration and security strategies. Unique Contribution to Theory, Practice, and Policy: This study contributes to the field by presenting invaluable insights for cybersecurity practitioners and entities aiming to strengthen their defenses against an evolving digital threat landscape. It advocates for a proactive orchestration of security measures, underlining the strategic implications of the SIEM-SOAR-AI triad for future cybersecurity endeavors. Recommendations are provided for entities to adopt this integrated approach to enhance their cybersecurity frameworks effectively.