Zero Trust Architecture (ZTA) has emerged as a fundamental cybersecurity paradigm that eliminates implicit trust and enforces continuous verification of users, devices, applications, and workloads regardless of their location. With the rapid adoption of cloud computing, hybrid work environments, Internet of Things (IoT), edge computing, and Artificial Intelligence (AI)-driven applications, traditional perimeter-based security models are no longer sufficient to defend against sophisticated cyber threats. The integration of AI with Zero Trust enables intelligent, adaptive, and automated security by leveraging machine learning, behavioral analytics, threat intelligence, and continuous risk assessment to strengthen authentication, authorization, anomaly detection, and incident response.
The International Conference on Cyber Security in Artificial Intelligence (ICCSAI 2027) invites original research contributions on Zero Trust Architecture with AI, focusing on innovative methods for building resilient, adaptive, and intelligent security frameworks. This track provides a platform for researchers, industry experts, cybersecurity practitioners, and policymakers to explore next-generation Zero Trust models that incorporate AI for identity management, network security, cloud protection, endpoint defense, autonomous security operations, and cyber resilience. Contributions addressing theoretical advances, practical implementations, security frameworks, AI-enabled automation, governance, and real-world case studies are highly encouraged.
