Revolutionizing IT Governance with Artificial Intelligence: Advanced Automation Strategies for Compliance and Risk Management

Yogesh Ramaswamy; Vikram Nattamai Sankaran

Author(s)

Yogesh Ramaswamy Meta Platforms, Inc., Menlo Park

Vikram Nattamai Sankaran Giesecke + Devrient Inc India

Abstract

Artificial Intelligence (AI) has revolutionized various business domains, including IT Governance, by offering significant potential for automating compliance and risk management processes. This paper explores the use of AI technologies-such as Machine Learning (ML), Natural Language Processing (NLP), and Robotic Process Automation (RPA)-to enhance IT Governance frameworks. It examines how AI can overcome the limitations of traditional IT Governance models, which are often burdened by manual processes, slow response times, and high operational costs. By leveraging AI, organizations can establish more efficient, accurate, and proactive governance mechanisms that ensure continuous compliance with regulatory requirements and enhance risk management. The study includes a review of existing literature, case study analysis, and an evaluation of AI-based tools currently used in IT Governance. It highlights AI's capabilities in real-time monitoring, predictive analytics, and automated decision-making, contributing to more resilient governance structures. Findings indicate that AI-driven IT Governance reduces human error and operational costs, while also improving the identification and mitigation of risks. This research offers a roadmap for integrating AI into governance frameworks, transforming the management of compliance and risk in the digital age. The paper also addresses challenges such as ethical concerns, data privacy, and the need for regulatory guidance on AI in IT Governance.

Publication Details

Page(s) 1496-1512

DOI DOI not available

Published Journal: International Journal of Communication Networks and Information Security, Volume: 16, Issue: 4, Year: 2024

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Keywords

Cybersecurity, Data Privacy, risk management, Machine learning (ML), Operational efficiency, Artificial Intelligence (AI), IT Governance, digital transformation, Natural language processing (NLP), AI, Real-time Monitoring, predictive analytics, Regulatory Compliance, Ai Governance Frameworks, Compliance Automation, Ai Challenges, Automated Decision-Making, Ai Integration, Proactive Risk Mitigation, Ethical AI, Ai-Driven Decision Support, Robotic Process Automation (Rpa), AI Ethics

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