AI-Driven ERP Transformation Framework for Enterprise Cybersecurity and Digital Resilience

Abstract

Enterprise Resource Planning (ERP) systems have become vital digital infrastructures that unify finance, human resources, procurement, supply chains, manufacturing, and business operations. However, increased cloud adoption, interlinked applications, APIs, remote accessibility and third-party integrations have greatly widened the ERP cybersecurity attack surface. Traditional security techniques based on static access control and predefined rules are no longer sufficient to combat adaptive threats, insider misuse, credential compromise, anomalous transactions and sophisticated cyberattacks. We propose an AI-Driven ERP Transformation Framework (AI-ERP-TRF) that incorporates artificial intelligence, behavioral analytics, zero-trust security, adaptive risk assessment, intelligent incident response, and digital resilience into a common ERP security architecture. It constantly monitors user behavior, device activity, transactions, application events, vulnerabilities, and business-process context to detect emerging threats and dynamically adjust security policies. The introduction of an Enterprise Cyber Resilience Score to measure prevention, detection, response and recovery capabilities. The proposed approach also includes automated containment, recovery orchestration, governance and continuous learning to improve organizational resilience. The framework provides a scalable foundation for the evolution of traditional ERP environments into adaptive, intelligent and cyber-resilient enterprise infrastructures.