Harnessing AI for Advanced Threat Detection: Enhancing SOC Operations Across U.S. Critical Industries
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V3I1P106Keywords:
AI Threat Detection, Security Operations Center (SOC), Critical Infrastructure Protection, AI-Powered SOC, Advanced Persistent Threats (APTs), Security Orchestration, Automation and Response (SOAR), Generative AI in Cybersecurity, Machine Learning in SOCAbstract
Critical industries in the United States, such as healthcare, energy, and defense, face increasingly sophisticated cyber threats that challenge traditional methods of detection and mitigation. Security Operations Centers (SOCs) play a pivotal role in defending these industries but are often constrained by limited resources and the escalating complexity of threats. This paper explores the transformative role of Artificial Intelligence (AI) in enhancing SOC operations for advanced threat detection. By leveraging machine learning (ML), natural language processing (NLP), and deep learning techniques, AI enables real-time anomaly detection, predictive threat analysis, and automated incident response. Specific innovations include the use of unsupervised learning for detecting novel attack vectors, AI-enhanced orchestration for automating routine SOC tasks, and neural networks for identifying advanced persistent threats (APTs). The integration of AI-driven tools not only improves SOC efficiency but also empowers analysts with actionable intelligence, reducing alert fatigue and minimizing response times. Case studies in the healthcare, energy, and defense sectors highlight the successful implementation of AI solutions in mitigating ransomware attacks, securing critical infrastructure, and combating state-sponsored cyber activities. However, challenges such as algorithmic bias, integration with legacy systems, and ethical concerns must be addressed to ensure responsible AI adoption. This paper provides actionable insights into harnessing AI for SOC operations, emphasizing the need for interdisciplinary collaboration and workforce development to safeguard U.S. critical industries
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