AI‑Native Zero‑Trust Architecture (AI‑ZTA): Federated Cognitive Trust Enforcement for Multi‑Cloud Security
Keywords:
Zero‑Trust Architecture, Federated Learning, Adaptive Trust, Micro‑Segmentation, Identity Analytics, Policy Orchestration, Multi‑Cloud Security, Cognitive SecurityAbstract
Zero‑Trust has evolved from static perimeterless policies to dynamic controls that mustoperate across clouds, regions, and workloads. However, most enterprise implementationsremain rule‑driven and reactive, resulting in policy drift, misconfiguration, and collateral access denial during
References
Zero‑Trust principles and continuous verification literature (foundational works).
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Published
2024-11-20
How to Cite
Suresh Kumar Balakrishnan. (2024). AI‑Native Zero‑Trust Architecture (AI‑ZTA): Federated Cognitive Trust Enforcement for Multi‑Cloud Security . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6712–6715. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3920
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