ACCELERATING THE SOC: ACHIEVE GREATER EFFICIENCY WITH AI-DRIVEN AUTOMATION
- Asad Yaseen
Abstract
This research paper navigates the transformative landscape of Security Operations Centers (SOCs), focusing on the integration of AI-driven automation. The evolution of traditional SOCs has been traced in this paper, identifying challenges and exploring emerging trends in cybersecurity technologies. The central theme revolves around the pivotal role of artificial intelligence in revolutionizing SOC operations, enhancing threat detection, incident response, and overall resilience. Detailed insights into detection algorithms, automated threat intelligence, and incident response automation underscore the practical applications of AI in SOC environments. Addressing concerns and risks, including ethical considerations, privacy issues, and regulatory compliance, ensures a comprehensive view of the challenges associated with AI implementation. Case studies exemplify successful AI integration in diverse SOC settings, providing tangible evidence of its impact. This research paper lays the groundwork for future research and practical implementations in leveraging AI to foster cybersecurity within SOCs.
Keywords
Security Operations Centers (SOCs), Artificial Intelligence (AI), Representation and Reasoning (KRR), cystic fibrosis (CF), convolutional neural networks (CNNs), natural language processing (NLP), Defence Research and Development Organisation (DRDO), CEH (Certified Ethical Hacker), CISSP (Certified Information Systems Security Professional), federated learning, differential privacy, software development, IoT devices