Blockchain and AI Convergence: A Disruptive Approach to Data Security and Automation

Abstract

The convergence of Blockchain and Artificial Intelligence (AI) is driving innovation in data security, automation, and decentralized computing. This paper examines how blockchain enhances AI's transparency, security, and trustworthiness while AI optimizes blockchain performance through intelligent automation. Use cases in finance, healthcare, and supply chain management are explored to highlight the practical applications of this convergence. We also discuss key challenges, including computational overhead, regulatory concerns, and scalability. The research underscores how AI and blockchain together can reshape digital ecosystems with enhanced security and efficiency.