Neurosymbolic AI for Context-Aware Cloud Security Policy Generation

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Venkata Thej Deep, Jakkaraju

Abstract

A hybrid neurosymbolic AI framework is proposed by this study to automatically generate an adaptive, explainable security policies in hybrid cloud environment. The system couples neural pattern recognition with symbolic reasoning in order to achieve context aware, scalable, and audible security in the cloud. It is presented and validated in simulations improved accuracy, policy compliance and interpretability for multi-environments deployments.

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