Transformer-Augmented AI Framework for ERP-Integrated Cloud Security Multi-Factor Authentication, Multivariate Classification, and Real-Time Threat Detection
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Abstract
Cloud and enterprise resource planning (ERP) systems are increasingly targeted by sophisticated cyber threats. This study presents a transformer-augmented AI framework designed to enhance cloud security while integrating ERP systems. The framework leverages multi-factor authentication (MFA) for secure access control, multivariate classification models for real-time threat detection, and transformer-based algorithms for intelligent decision-making. By combining deep learning techniques with ERP-integrated cloud infrastructure, the proposed system ensures scalable and adaptive security while minimizing response latency. Experimental evaluations demonstrate the framework’s effectiveness in identifying and mitigating threats across complex cloud-ERP environments, providing a robust solution for organizations seeking proactive cybersecurity measures.
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