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Generative AI for Continuous Monitoring and Compliance
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Author(s): Venkataramesh Induru (Piorion Solutions Inc., USA), Priyadarshini Radhakrishnan (IBM Corporation, USA), Vijai Anand Ramar (Delta Dental Insurance Company, USA), Yashwant Kumar Kolli (Cognizant Technology Solutions US Corp., USA), Karthik Kushala (Taylor Corporation, USA)and S. K. Pravin Kumar (Department of Electronics and Communication Engineering, United Institute of Technology, Coimbatore, India)
Copyright: 2027
Pages: 38
Source title:
Generative AI for Cyber Risk Management
Source Author(s)/Editor(s): Yassine Maleh (Sultan Moulay Slimane University, Morocco), Lahby Mohamed (Hassan II University, Casablanca, Morocco)and Ahmed A. Abd El-Latif (Prince Sultan University, Saudi Arabia)
DOI: 10.4018/979-8-3693-8397-1.ch008
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Abstract
Generative Artificial Intelligence is transforming continuous monitoring and regulatory compliance across sectors. Since there is heightened cybersecurity, financial reporting, and legal requirement compliance complexity, organizations require intelligent, scalable, and flexible solutions. GenAI brings robust capabilities such as report automation, anomaly detection, detailed risk reporting, and regulatory scenario simulation with low-level minimal intervention. The book presents a comprehensive end-to-end explanation of GenAI architectures, frameworks, ethics, and real-time applications in monitoring dynamic systems and compliance in the real world. Every chapter is based on flagship sectors such as finance, healthcare, manufacturing, and cybersecurity, and includes in-depth case studies, implementation plans, and upcoming trends. The book is geared towards policymakers, researchers, and practitioners alike, bridging theory and practice. It provides a comprehensive guide to applying GenAI in the development of smart, transparent, and ethical compliance solutions
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