Adaptive Multi-Factor Authentication in a Document-Centric System

Abstract

Static authentication methods are increasingly vulnerable to social engineering and phishing, especially in cloud-based document workflows. This paper presents an adaptive multi-factor authentication model that escalates security measures with higher document criticality or anomalous user behavior. By merging biometric data with cryptographic safeguards under Zero-Trust principles, continuous verification is achieved while balancing usability. Preliminary findings suggest a notable increase in protection for sensitive documents and underscore the need to standardize event-driven controls. UDC: 004.056.523; JEL: C 88, O 33, M 15.