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@article{188324,
        author = {Manisha Bharatram Bannagare and SWATI PADMAKAR AKHARE and AYASHA AVINASH CHAVAN},
        title = {Adaptive Zero Trust Architecture for Cloud-Native Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {1546-1548},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188324},
        abstract = {This paper proposes an adaptive Zero Trust security framework tailored for cloud-native environments. Traditional Zero Trust models often rely on static policies, which struggle to keep pace with the dynamic nature of microservices, containers, and serverless platforms. Our approach integrates AI-driven trust scoring, real-time policy enforcement, and service mesh technologies to create a responsive and scalable security architecture. We tested the framework on a Kubernetes cluster with real-time traffic simulation. Experimental results demonstrate improved threat detection, reduced lateral movement, and enhanced compliance with modern security standards. The novelty lies in dynamically adjusting security policies based on real-time context and threat intelligence, making Adaptive Zero Trust Architecture a robust solution for cloud-native environments.},
        keywords = {Zero Trust Architecture, Cloud-Native Security, AI-Driven Trust Scoring, Real-Time Policy Enforcement, Service Mesh Technologies},
        month = {December},
        }