ZTNA – Zero Trust Network Access

Abstract

Zero Trust Network Access (ZTNA) is a modern cybersecurity approach that addresses the weaknesses of traditional perimeter-based security models that rely on implicit trust. This project proposes an AI-driven ZTNA framework that enhances security through strict identity verification and continuous monitoring. The system uses artificial intelligence and machine learning to analyze user behavior, device health, and contextual data in real time to make risk-based access decisions. It integrates multi-factor authentication, policy-based access control, and anomaly detection to prevent unauthorized access. The framework also enables secure remote access and improves overall network security and access management.