An Intent-Aware Zero Trust Identity Architecture for Unifying Human and Machine Access

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The architecture enhances security by integrating human and machine identity management, ensuring a unified access control mechanism.
Key features include decentralized identity provisioning and policy-as-code enforcement to optimize governance and real-time telemetry ingestion.
Intent-aware security is implemented through AI-powered intent detection and trust scoring, facilitating continuous verification processes.
Exploring use cases in sectors like healthcare and finance, the framework addresses challenges such as OT/IT convergence and multi-user device governance.

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This framework integrates identity governance and access control for humans and non-humans, highlighting security needs across industries.

Bhushan et al. (2025) studied this question.

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This framework integrates identity governance and access control for humans and non-humans, highlighting security needs across industries.