Abstract:
"Organisations need SOCs to combat the growing volume and complexity of cyber threats. Data overload, alert weariness, and rapid response might reduce SOC efficiency. This study
investigates SOC performance to address inefficiency. An in-depth research shows that manual processes, limited scalability, and the inability to prioritise critical signals impair SOC threat identification and mitigation. The recommended intentional SOC workflow automation to address these challenges. We streamline tasks, analyse data, and respond to incidents in real time using AI, machine learning, and robotic process automation. The proposed automated method frees SOC analysts to focus on strategic decision-making and threat hunting. Our automation solutions are tested in case studies and simulations to improve SOC efficiency."
